litlas
Log inCreate account

Jiliang Tang

Active 2011–2026

451
Papers
34,579
Citations
91
h-index
290
i10-index

Citations

Citations per year for Jiliang Tang1967: 1 citations1969: 1 citations1981: 1 citations1990: 1 citations1992: 1 citations1993: 1 citations1995: 1 citations1997: 1 citations1998: 1 citations2001: 1 citations2002: 1 citations2007: 1 citations2011: 3 citations2012: 30 citations2013: 152 citations2014: 319 citations2015: 501 citations2016: 713 citations2017: 992 citations2018: 1,269 citations2019: 1,750 citations2020: 2,107 citations2021: 2,382 citations2022: 2,224 citations2023: 2,478 citations2024: 3,010 citations2025: 3,086 citations2026: 1,147 citations2027: 2 citations1968: no citations, so this year is not shown1970–1980: no citations, so these years are not shown1982–1989: no citations, so these years are not shown1991: no citations, so this year is not shown1994: no citations, so this year is not shown1996: no citations, so this year is not shown1999–2000: no citations, so these years are not shown2003–2006: no citations, so these years are not shown2008–2010: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 7,047 citing papers, 33.1% of this breakdownUnited States: 3,761 citing papers, 17.7% of this breakdownAustralia: 970 citing papers, 4.6% of this breakdownHong Kong: 794 citing papers, 3.7% of this breakdownIndia: 745 citing papers, 3.5% of this breakdownUnited Kingdom: 725 citing papers, 3.4% of this breakdownSingapore: 533 citing papers, 2.5% of this breakdownCanada: 474 citing papers, 2.2% of this breakdownGermany: 470 citing papers, 2.2% of this breakdownItaly: 439 citing papers, 2.1% of this breakdownJapan: 381 citing papers, 1.8% of this breakdownSouth Korea: 356 citing papers, 1.7% of this breakdown
0%33.1%Other 21.5%

Institutions

Fields

  • Computer Science67.1%
  • Social Sciences14.9%
  • Physics and Astronomy4.3%
  • Engineering4%
  • Biochemistry, Genetics and Molecular Biology2.3%
  • Medicine1.6%
  • Other5.8%

Topics

  • Advanced Graph Neural Networks9.2%
  • Recommender Systems and Techniques7.4%
  • Topic Modeling6.2%
  • Complex Network Analysis Techniques4.7%
  • Misinformation and Its Impacts3.7%
  • Spam and Phishing Detection3.3%
  • Other65.5%

Coauthors

All papers

Open in search
  1. Graph Neural Networks for Social Recommendation

    Authors: Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin - The World Wide Web Conference, WWW 2019 cited by 1,912

  2. Fake News Detection on Social Media: A Data Mining Perspective

    Authors: Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2017 cited by 3,136

  3. TrustLLM: Trustworthiness in Large Language Models

    Authors: Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao - arXiv (Cornell University), CoRR 2024 cited by 410

  4. Traffic Flow Prediction via Spatial Temporal Graph Neural Network

    Authors: Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu - Web Conference 2020, WWW 2020 cited by 586

  5. Large Language Models for Education: A Survey and Outlook

    Authors: Shen Wang, T. Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2025 cited by 189

  6. Retrieval-Augmented Generation with Graphs (GraphRAG)

    Authors: Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang - arXiv (Cornell University), CoRR 2024 cited by 180

  7. WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

    Authors: K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang - WSDM 2022 cited by 233

  8. Recommender Systems in the Era of Large Language Models (LLMs)

    Authors: Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2024 cited by 337

  9. XGNN: Towards Model-Level Explanations of Graph Neural Networks

    Authors: Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji - SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 cited by 264

  10. Trustworthy AI: A Computational Perspective

    Authors: Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang - ACM Transactions on Intelligent Systems and Technology, ACM Trans. Intell. Syst. Technol. 2022 cited by 221

  11. Feature Selection: A Data Perspective

    Authors: Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu - ACM Computing Surveys, ACM Comput. Surv. 2017 cited by 2,321

  12. Deep Reinforcement Learning for Page-wise Recommendations

    Authors: Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang - Conference on Recommender Systems, RecSys 2018 cited by 415

  13. A Graph Neural Network Framework for Social Recommendations

    Authors: Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2020 cited by 220

  14. Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

    Authors: Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2023 cited by 162

  15. Opening the Black Box: Interpretable Machine Learning for Geneticists

    Authors: Christina B. Azodi, Jiliang Tang, Shin‐Han Shiu - Trends in Genetics 2020 cited by 442

  16. Signed Graph Convolutional Networks

    Authors: Tyler Derr, Yao Ma, Jiliang Tang - IEEE International Conference on Data Mining (ICDM) 2018 cited by 310

  17. Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

    Authors: Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin - SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 cited by 392

  18. The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

    Authors: Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 78

  19. Is Homophily a Necessity for Graph Neural Networks?

    Authors: Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang - ICLR 2022 cited by 314

  20. Adversarial Attacks and Defenses on Graphs

    Authors: Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2020 cited by 162

  21. KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020

    Authors: Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash - KDD 2020 cited by 126

  22. Self-supervised Learning on Graphs: Deep Insights and New Direction

    Authors: Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang - arXiv (Cornell University), CoRR 2020 cited by 166

  23. Graph Trend Filtering Networks for Recommendation

    Authors: Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li - SIGIR Conference on Research and Development in Information Retrieval 2022 cited by 113

  24. A Survey on Post-training of Large Language Models

    Authors: Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao - ArXiv.org, CoRR 2025 cited by 66