Qing Li

37.5k total citations · 6 hit papers
1.3k papers, 22.2k citations indexed

About

Qing Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qing Li has authored 1.3k papers receiving a total of 22.2k indexed citations (citations by other indexed papers that have themselves been cited), including 442 papers in Artificial Intelligence, 282 papers in Information Systems and 277 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qing Li's work include Topic Modeling (122 papers), Data Management and Algorithms (105 papers) and Recommender Systems and Techniques (86 papers). Qing Li is often cited by papers focused on Topic Modeling (122 papers), Data Management and Algorithms (105 papers) and Recommender Systems and Techniques (86 papers). Qing Li collaborates with scholars based in China, Hong Kong and United States. Qing Li's co-authors include Haoran Xie, Xudong Mao, Raymond Y.K. Lau, Zhen Wang, Wenqi Fan, Jiliang Tang, Yao Ma, Dawei Yin, Kamalakar Karlapalem and Yi Cai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Qing Li

1.2k papers receiving 21.2k citations

Hit Papers

Least Squares Generative Adversarial Networks 2017 2026 2020 2023 2017 2019 2018 2024 2024 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Li China 63 7.7k 5.6k 4.9k 2.6k 1.8k 1.3k 22.2k
Fei‐Yue Wang China 84 7.6k 1.0× 5.9k 1.1× 5.4k 1.1× 4.5k 1.7× 1.6k 0.9× 1.2k 37.9k
Xindong Wu China 67 14.2k 1.8× 9.5k 1.7× 6.3k 1.3× 2.1k 0.8× 2.8k 1.5× 655 28.3k
Ajith Abraham United States 77 11.3k 1.5× 3.5k 0.6× 3.4k 0.7× 5.5k 2.1× 2.0k 1.1× 947 25.7k
Hui Xiong China 68 10.6k 1.4× 3.7k 0.7× 6.0k 1.2× 2.3k 0.9× 3.8k 2.1× 624 26.5k
Taghi M. Khoshgoftaar United States 65 16.4k 2.1× 5.9k 1.1× 10.9k 2.2× 4.7k 1.8× 2.2k 1.2× 654 38.9k
Yang Liu China 76 13.3k 1.7× 5.2k 0.9× 6.5k 1.3× 4.1k 1.6× 4.7k 2.6× 1.7k 30.5k
Carlos Guestrin United States 50 13.5k 1.7× 5.5k 1.0× 2.9k 0.6× 4.4k 1.7× 1.6k 0.9× 138 24.0k
Tom M. Mitchell United States 58 14.6k 1.9× 3.9k 0.7× 3.5k 0.7× 1.4k 0.5× 1.4k 0.7× 204 27.9k
Salvador García Spain 55 19.6k 2.5× 3.9k 0.7× 3.1k 0.6× 1.5k 0.6× 1.6k 0.9× 175 29.1k
Eibe Frank New Zealand 39 18.3k 2.4× 5.0k 0.9× 9.1k 1.9× 3.7k 1.4× 3.9k 2.1× 102 38.5k

Countries citing papers authored by Qing Li

Since Specialization
Citations

This map shows the geographic impact of Qing Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Li more than expected).

Fields of papers citing papers by Qing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qing Li. The network helps show where Qing Li may publish in the future.

Co-authorship network of co-authors of Qing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Li. A scholar is included among the top collaborators of Qing Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Li. Qing Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Zhenzhu, et al.. (2025). Unified and efficient multi-view clustering with tensorized bipartite graph. Expert Systems with Applications. 269. 126488–126488. 2 indexed citations
2.
Zhang, Jiahao, et al.. (2025). Score-Based Generative Diffusion Models for Social Recommendations. IEEE Transactions on Knowledge and Data Engineering. 37(11). 6666–6679. 2 indexed citations
3.
Xiao, Yunlong, Dezheng Guo, Ting He, et al.. (2024). High transmission efficiency long-wave infrared multispectral modulation array based on nanogap engineering. Infrared Physics & Technology. 142. 105559–105559. 2 indexed citations
4.
Pan, Jing, Shuai Cao, Yuhao Li, et al.. (2024). Enhancing the grain boundary diffusion efficiency of Tb for Nd-Fe-B magnets using multi-element composite diffusion source. Journal of Alloys and Compounds. 984. 174003–174003. 8 indexed citations
5.
Zhang, Dequan, et al.. (2024). A robust optimization framework for design of robotic system with kinematic and dynamic criteria. Computer Methods in Applied Mechanics and Engineering. 423. 116866–116866. 13 indexed citations
6.
Chen, Xingyan, et al.. (2024). ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling. Neurocomputing. 591. 127725–127725. 7 indexed citations
7.
8.
Fan, Wenqi, et al.. (2024). Linear-Time Graph Neural Networks for Scalable Recommendations. 3533–3544. 14 indexed citations
9.
Qi, Peng, Yi Cai, Jiankun Liu, et al.. (2024). Integration of Multi-Source Medical Data for Medical Diagnosis Question Answering. IEEE Transactions on Medical Imaging. 44(3). 1373–1385. 3 indexed citations
10.
Li, Jiatong, Yunqing Liu, Wenqi Fan, et al.. (2024). Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6071–6083. 26 indexed citations
11.
Cao, Wenming, et al.. (2024). EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6422–6436. 1 indexed citations
12.
Li, Qing, et al.. (2024). Topology Design and Operation of Distribution Network Based on Multi-Objective Framework and Heuristic Strategies. Mathematics. 12(13). 1998–1998. 3 indexed citations
13.
Cai, Yi, et al.. (2023). Deconfounded Visual Question Generation with Causal Inference. 5132–5142. 5 indexed citations
14.
Li, Qing, Rongsheng Wang, Quanming Lu, et al.. (2021). Characterisation of density linear control in a helicon plasma source with tunable antenna wavenumber spectra. Plasma Sources Science and Technology. 30(7). 75015–75015. 3 indexed citations
15.
Wu, Peisong, Ting He, He Zhu, et al.. (2021). Next‐generation machine vision systems incorporating two‐dimensional materials: Progress and perspectives. InfoMat. 4(1). 97 indexed citations
16.
Mao, Xudong & Qing Li. (2021). Generative Adversarial Networks for Image Generation. CERN Document Server (European Organization for Nuclear Research). 9 indexed citations
17.
Wen, Shiting, et al.. (2014). Towards automatic construction of skyline composite services. Journal of Web Engineering. 13(5). 361–377. 5 indexed citations
18.
Heckman, Robert, Kevin Crowston, Qing Li, et al.. (2006). Emergent Decision-Making Practices In Technology-Supported Self-Organizing Distributed Teams. Journal of the Association for Information Systems. 649–660. 8 indexed citations
19.
Li, Qing. (2005). Visual design and implementation for personalize multimedia chemistry courseware developing and integration system.
20.
Li, Qing, et al.. (2004). A New Approach Combining Content-based Filtering and Collaborative Filtering for Recommender Systems. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 31(3). 332–342. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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