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Nilanjan Dey

2004–2026 年に発表

460
論文数
18,759
被引用数
71
h 指数
361
i10 指数

被引用数

Nilanjan Dey の年別被引用数1980 年: 被引用 1 件1982 年: 被引用 1 件1985 年: 被引用 1 件1992 年: 被引用 1 件1993 年: 被引用 1 件1994 年: 被引用 2 件1995 年: 被引用 1 件2002 年: 被引用 1 件2004 年: 被引用 1 件2005 年: 被引用 1 件2006 年: 被引用 4 件2007 年: 被引用 5 件2008 年: 被引用 4 件2009 年: 被引用 1 件2010 年: 被引用 1 件2011 年: 被引用 1 件2012 年: 被引用 18 件2013 年: 被引用 45 件2014 年: 被引用 69 件2015 年: 被引用 146 件2016 年: 被引用 296 件2017 年: 被引用 446 件2018 年: 被引用 612 件2019 年: 被引用 859 件2020 年: 被引用 1,351 件2021 年: 被引用 1,439 件2022 年: 被引用 1,053 件2023 年: 被引用 996 件2024 年: 被引用 918 件2025 年: 被引用 580 件2026 年: 被引用 112 件1981 年は被引用が無いため表示していません1983〜1984 年は被引用が無いため表示していません1986〜1991 年は被引用が無いため表示していません1996〜2001 年は被引用が無いため表示していません2003 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図インド: 引用元論文 1,973 件、この内訳の 18.7%中国: 引用元論文 1,464 件、この内訳の 13.9%アメリカ合衆国: 引用元論文 763 件、この内訳の 7.2%イギリス: 引用元論文 432 件、この内訳の 4.1%サウジアラビア: 引用元論文 348 件、この内訳の 3.3%エジプト: 引用元論文 328 件、この内訳の 3.1%オーストラリア: 引用元論文 259 件、この内訳の 2.4%イタリア: 引用元論文 244 件、この内訳の 2.3%パキスタン: 引用元論文 226 件、この内訳の 2.1%スペイン: 引用元論文 220 件、この内訳の 2.1%カナダ: 引用元論文 218 件、この内訳の 2.1%韓国: 引用元論文 217 件、この内訳の 2.1%
0%18.7%その他 36.6%

機関

分野

  • Computer Science40.2%
  • Medicine22.1%
  • Engineering15.6%
  • Neuroscience3.9%
  • Biochemistry, Genetics and Molecular Biology3%
  • Health Professions1.9%
  • その他13.3%

トピック

  • COVID-19 diagnosis using AI3.9%
  • AI in cancer detection3.2%
  • IoT and Edge/Fog Computing2.5%
  • Radiomics and Machine Learning in Medical Imaging2%
  • Brain Tumor Detection and Classification1.6%
  • Anomaly Detection Techniques and Applications1.4%
  • その他85.4%

共著者

全論文

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  1. Challenges of Deep Learning in Medical Image Analysis—Improving Explainability and Trust

    著者: Tribikram Dhar, Nilanjan Dey, Surekha Borra, R. Simon Sherratt - IEEE Transactions on Technology and Society 2023 被引用: 281

  2. Alzheimer's Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes

    著者: Md Sarwar Kamal, Aden Northcote, Linkon Chowdhury, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2021 被引用: 128

  3. DisastDrone: A Disaster Aware Consumer Internet of Drone Things System in Ultra-Low Latent 6G Network

    著者: Amartya Mukherjee, Debashis De, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma - IEEE Transactions on Consumer Electronics, IEEE Trans. Consumer Electron. 2022 被引用: 71

  4. Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays

    著者: Nilanjan Dey, Yudong Zhang, V. Rajinikanth, R. Pugalenthi, Nadaradjane Sri Madhava Raja - Pattern Recognition Letters, Pattern Recognit. Lett. 2021 被引用: 224

  5. Explainable AI for Glaucoma Prediction Analysis to Understand Risk Factors in Treatment Planning

    著者: Md Sarwar Kamal, Nilanjan Dey, Linkon Chowdhury, Syed Irtija Hasan, KC Santosh - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2022 被引用: 83

  6. Medical cyber-physical systems: A survey

    著者: Nilanjan Dey, Amira S. Ashour, Fuqian Shi, Simon James Fong, João Manuel R. S. Tavares - Journal of Medical Systems, J. Medical Syst. 2018 被引用: 221

  7. A Survey of Data Mining and Deep Learning in Bioinformatics

    著者: Kun Lan, Dan-tong Wang, Simon Fong, Liansheng Liu, Kelvin Kian Loong Wong, Nilanjan Dey - Journal of Medical Systems, J. Medical Syst. 2018 被引用: 293

  8. Hardware Implementation for Lower Limb Surface EMG Measurement and Analysis Using Explainable AI for Activity Recognition

    著者: Ankit Vijayvargiya, Puneet Singh, Rajesh Kumar, Nilanjan Dey - IEEE Transactions on Instrumentation and Measurement, IEEE Trans. Instrum. Meas. 2022 被引用: 59

  9. Fundamentals, present and future perspectives of speech enhancement

    著者: Nabanita Das, Sayan Chakraborty, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey - International Journal of Speech Technology, Int. J. Speech Technol. 2020 被引用: 91

  10. Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

    著者: Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey, Venkatesan Rajinikanth, Tapan Kumar Gandhi - Applied Intelligence, Appl. Intell. 2020 被引用: 362

  11. Developing residential wireless sensor networks for ECG healthcare monitoring

    著者: Nilanjan Dey, Amira S. Ashour, Fuqian Shi, Simon James Fong, R. Simon Sherratt - IEEE Transactions on Consumer Electronics, IEEE Trans. Consumer Electron. 2017 被引用: 282

  12. Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks

    著者: S. Vimal, Manju Khari, Rubén González Crespo, L. Kalaivani, Nilanjan Dey, Madasamy Kaliappan - Computer Communications, Comput. Commun. 2020 被引用: 142

  13. Phase-3 trial of recombinant human alkaline phosphatase for patients with sepsis-associated acute kidney injury (REVIVAL)

    著者: Peter Pickkers, Derek C. Angus, Kristie Bass, Rinaldo Bellomo, Erik van den Berg, Juliane Bernholz, Morten H. Bestle, Kent Doi, Chistopher J. Doig, Ricard Ferrer, Bruno François, Henrik Gammelager, U. G. Pedersen, Eric A. J. Hoste, Susanne Iversen, Michael Joannidis, John A. Kellum, Kathleen D. Liu, Melanie Meersch, Ravindra L. Mehta, Scott J. Millington, Patrick Murray, Alistair Nichol, Marlies Ostermann, Ville Pettilä, Christoffer Sølling, Matthias Winkel, Paul J. Young, Alexander Zarbock, on behalf of the REVIVAL investigators, Angus Carter, D Friès, Philip Eller, Ludovic Gérard, Nicolas DeSchryver, Elisabeth Diltoer, Vincent Huberlant, Isabelle Michaux, Patrick M. Honoré, Tom Fivez, Christopher J. Doig, Gordon Wood, J. Gordon Boyd, Alexis F. Turgeon, Maj K. Kamper, Thomas Strøm, Sussanne Iversen, Hendrik Gammelager, Bodil Steen Rasmussen, Christoffer Sølling, Morten Hyllander Mæller, Thorbjoern Groefte, Nilanjan Dey, Ulf Gøttrup Pedersen, Mila Valkonen, Panu Uusalo, Ville Jalkanen, Ferhat Meziani, Jermie Lemarie, Gaëtan Plantefève, Konstantimos Bachoumas, Jean Louis Dufour, Anne-Laure Fedou, Pierre Asfar, Xavier Monnet, Christophe Vinsonneau, Sébastien Gibot, Christophe Guitton, Jean‐Pierre Quenot, Grégoire Müller, Jean Yves Lefrant, Emmanuelle Mercier, Alexandre Mebazaa, Andreas Kortgen, Sebastian Fichtner, Stefan Kluge, Gernot Marx, Ignatio Martin-Loeches, Bairbre McNicolas, Hidenobu Kamohara, Masahiro Harada, Takuo Nakagami, Shingo Adachi, Kohei Ota, Ryo Furuya, Ayumu Tsuruoka, Yasuaki Mizushima, Satoki Inoue, Pieter R. Tuinman, F Wim Roozendaal, Bert Beishuizen, Oscar Hoiting, Tom Dormans, Arthur R. H. van Zanten, Paul J. Young, Anthony P. Williams, Colin McArthur, Paweł Twardowski, Shay McGuinness, Ricard Ferrer ほか 21 名 - Intensive Care Medicine 2024 被引用: 67

  14. Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks

    著者: Qun Wu, Nilanjan Dey, Fuqian Shi, Rubén González Crespo, R. Simon Sherratt - Applied Soft Computing, Appl. Soft Comput. 2021 被引用: 40

  15. Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT

    著者: S. Vimal, Manju Khari, Nilanjan Dey, Rubén González Crespo, Yesudhas Harold Robinson - Computer Communications, Comput. Commun. 2020 被引用: 138

  16. Link prediction in co-authorship networks based on hybrid content similarity metric

    著者: Pham Minh Chuan, Le Hoang Son, Mumtaz Ali, Tran Dinh Khang, Le Thanh Huong, Nilanjan Dey - Applied Intelligence, Appl. Intell. 2017 被引用: 102

  17. Adaptive thresholding: A comparative study

    著者: Payel Roy, Saurab Dutta, Nilanjan Dey, Goutami Dey, Sayan Chakraborty, Ruben Ray - International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) 2014 被引用: 178

  18. Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal

    著者: Ankit Vijayvargiya, Khimraj, Rajesh Kumar, Nilanjan Dey - Physical and Engineering Sciences in Medicine 2021 被引用: 48

  19. Human-Collaborative Artificial Intelligence Along With Social Values in Industry 5.0: A Survey of the State-of-the-Art

    著者: Mahdi Khosravy, Neeraj Gupta, Antoine Pasquali, Nilanjan Dey, Rubén González Crespo, Olaf Witkowski - IEEE Transactions on Cognitive and Developmental Systems, IEEE Trans. Cogn. Dev. Syst. 2023 被引用: 47

  20. Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

    著者: Nadaradjane Sri Madhava Raja, Steven Lawrence Fernandes, Nilanjan Dey, Suresh Chandra Satapathy, V. Rajinikanth - Journal of Ambient Intelligence and Humanized Computing, J. Ambient Intell. Humaniz. Comput. 2018 被引用: 158

  21. A Hybrid WD-EEMD sEMG Feature Extraction Technique for Lower Limb Activity Recognition

    著者: Ankit Vijayvargiya, Vishu Gupta, Rajesh Kumar, Nilanjan Dey, João Manuel R. S. Tavares - IEEE Sensors Journal 2021 被引用: 72

  22. Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation

    著者: Ying Wang, Qun Wu, Nilanjan Dey, Simon Fong, Amira S. Ashour - Journal of Applied Biomedicine 2020 被引用: 60

  23. Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

    著者: Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy - Studies in big data 2017 被引用: 272

  24. Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data

    著者: Mukul Singh, Shrey Bansal, Sakshi Ahuja, Rahul Dubey, Bijaya Ketan Panigrahi, Nilanjan Dey - Medical & Biological Engineering & Computing, Medical Biol. Eng. Comput. 2020 被引用: 113