Lingling Yi

468 total citations
16 papers, 276 citations indexed

About

Lingling Yi is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Lingling Yi has authored 16 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 11 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Lingling Yi's work include Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (10 papers) and Complex Network Analysis Techniques (5 papers). Lingling Yi is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (10 papers) and Complex Network Analysis Techniques (5 papers). Lingling Yi collaborates with scholars based in China, Hong Kong and Switzerland. Lingling Yi's co-authors include Yangqiu Song, Jingtao Ding, Chen Gao, Depeng Jin, Yuhan Quan, Yong Li, Chonggang Song, Guohui Ling, Xiangnan He and Yang Zhang and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Information Processing & Management and ACM Transactions on Information Systems.

In The Last Decade

Lingling Yi

13 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Yi China 8 198 123 105 61 32 16 276
Linmei Hu China 6 366 1.8× 195 1.6× 102 1.0× 53 0.9× 25 0.8× 8 424
Saurabh Kataria United States 10 305 1.5× 160 1.3× 47 0.4× 89 1.5× 23 0.7× 27 422
Tara Safavi United States 8 226 1.1× 49 0.4× 89 0.8× 84 1.4× 30 0.9× 20 318
Ahmed El-Kishky United States 12 392 2.0× 109 0.9× 47 0.4× 62 1.0× 38 1.2× 29 455
Mianwei Zhou United States 7 268 1.4× 100 0.8× 53 0.5× 34 0.6× 15 0.5× 10 322
Fangli Xu China 10 311 1.6× 176 1.4× 32 0.3× 87 1.4× 21 0.7× 17 401
Pavan Kapanipathi United States 12 323 1.6× 95 0.8× 53 0.5× 46 0.8× 23 0.7× 38 377
Phuc Do Vietnam 9 203 1.0× 74 0.6× 44 0.4× 35 0.6× 12 0.4× 47 253
Christine Largeron France 10 140 0.7× 60 0.5× 81 0.8× 87 1.4× 19 0.6× 33 294

Countries citing papers authored by Lingling Yi

Since Specialization
Citations

This map shows the geographic impact of Lingling Yi'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 Lingling Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Yi more than expected).

Fields of papers citing papers by Lingling Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingling Yi. 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 Lingling Yi. The network helps show where Lingling Yi may publish in the future.

Co-authorship network of co-authors of Lingling Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Yi. A scholar is included among the top collaborators of Lingling Yi 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 Lingling Yi. Lingling Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Song, Chonggang, et al.. (2025). TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance. 5907–5914.
2.
3.
Gan, Mingxin, et al.. (2024). Exploiting dynamic social feedback for session-based recommendation. Information Processing & Management. 61(3). 103632–103632. 11 indexed citations
4.
Cai, Ruichu, et al.. (2023). Graph Domain Adaptation: A Generative View. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–24. 12 indexed citations
5.
Song, Chonggang, et al.. (2023). Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat. 4988–4994. 5 indexed citations
6.
Wu, Leilei, Lingling Yi, Xiao-Long Ren, & Linyuan Lü. (2023). Predicting the Popularity of Information on Social Platforms without Underlying Network Structure. Entropy. 25(6). 916–916.
7.
Quan, Yuhan, Jingtao Ding, Chen Gao, et al.. (2023). Alleviating Video-length Effect for Micro-video Recommendation. ACM Transactions on Information Systems. 42(2). 1–24. 7 indexed citations
8.
Gao, Chen, et al.. (2023). Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. 2547–2558. 2 indexed citations
9.
Quan, Yuhan, Jingtao Ding, Chen Gao, et al.. (2023). Robust Preference-Guided Denoising for Graph based Social Recommendation. arXiv (Cornell University). 1097–1108. 39 indexed citations
10.
Zheng, Yu, Chen Gao, Jingtao Ding, et al.. (2022). DVR. Proceedings of the 30th ACM International Conference on Multimedia. 334–345. 10 indexed citations
11.
He, Xiangnan, Yang Zhang, Fuli Feng, et al.. (2022). Addressing Confounding Feature Issue for Causal Recommendation. ACM Transactions on Information Systems. 41(3). 1–23. 35 indexed citations
12.
Chen, Lei, Jingtao Ding, Min Yang, et al.. (2022). Item-Provider Co-learning for Sequential Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1817–1822. 1 indexed citations
13.
Sun, Shijie, Jingtao Ding, Xing Huang, et al.. (2022). PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3302–3311. 10 indexed citations
14.
Chen, Xumin, Peng Cui, Lingling Yi, & Shiqiang Yang. (2018). Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data. 130–138. 1 indexed citations
15.
Li, Quan, et al.. (2018). WeSeer: Visual Analysis for Better Information Cascade Prediction of WeChat Articles. IEEE Transactions on Visualization and Computer Graphics. 26(2). 1399–1412. 9 indexed citations
16.
Yi, Lingling, et al.. (2018). Scalable Multiplex Network Embedding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3082–3088. 134 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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