Kunfeng Lai

437 total citations
11 papers, 120 citations indexed

About

Kunfeng Lai is a scholar working on Artificial Intelligence, Information Systems and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kunfeng Lai has authored 11 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kunfeng Lai's work include Topic Modeling (5 papers), Advanced Text Analysis Techniques (4 papers) and Natural Language Processing Techniques (3 papers). Kunfeng Lai is often cited by papers focused on Topic Modeling (5 papers), Advanced Text Analysis Techniques (4 papers) and Natural Language Processing Techniques (3 papers). Kunfeng Lai collaborates with scholars based in China, Canada and Australia. Kunfeng Lai's co-authors include Di Niu, Yu Xu, Bang Liu, Linglong Kong, Yancheng He, Dong Liu, Chenglin Wu, Weidong Guo, Fu-Lai Chung and Jianping Shen and has published in prestigious journals such as Neural Networks, Frontiers in Cell and Developmental Biology and npj Digital Medicine.

In The Last Decade

Kunfeng Lai

10 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunfeng Lai China	8	87	44	25	17	9	11	120
Kenton Murray United States	7	115 1.3×	37 0.8×	34 1.4×	8 0.5×	7 0.8×	19	139
M. Ramakrishna Murty India	6	72 0.8×	28 0.6×	13 0.5×	8 0.5×	9 1.0×	7	110
Chao Chang China	5	56 0.6×	29 0.7×	12 0.5×	10 0.6×	18 2.0×	12	90
Yancheng He China	8	114 1.3×	69 1.6×	28 1.1×	13 0.8×	7 0.8×	16	167
Arda Çelebi Türkiye	5	293 3.4×	61 1.4×	13 0.5×	13 0.8×	8 0.9×	10	317
Lianzhe Huang China	5	288 3.3×	41 0.9×	27 1.1×	12 0.7×	8 0.9×	5	319
Yaser Keneshloo United States	4	140 1.6×	39 0.9×	16 0.6×	37 2.2×	12 1.3×	5	190
Qingyu Yin United States	11	218 2.5×	41 0.9×	49 2.0×	5 0.3×	5 0.6×	30	239
Sascha Rothe Germany	8	234 2.7×	58 1.3×	33 1.3×	10 0.6×	2 0.2×	9	254
Romaric Ludinard France	4	37 0.4×	75 1.7×	11 0.4×	14 0.8×	25 2.8×	10	101

Countries citing papers authored by Kunfeng Lai

Since Specialization

Citations

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

Fields of papers citing papers by Kunfeng Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunfeng Lai

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Li, Li, Kunfeng Lai, Yujie Wang, et al.. (2025). AI driven quantitative analysis of meibomian glands in children and adolescents: a benchmark dataset study. Eye and Vision. 12(1). 46–46.

2.

Li, Li, Kunfeng Lai, Jiawen Lin, et al.. (2025). Development and multicenter validation of an AI driven model for quantitative meibomian gland evaluation. npj Digital Medicine. 8(1). 403–403. 1 indexed citations

3.

Wei, Jianhe, Xiangjie Lin, Yujie Wang, et al.. (2025). Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm. Frontiers in Cell and Developmental Biology. 12. 1518154–1518154. 5 indexed citations

4.

Liu, Bang, et al.. (2020). Story Forest. ACM Transactions on Knowledge Discovery from Data. 14(3). 1–28. 29 indexed citations

5.

Lai, Kunfeng, et al.. (2020). Task-Completion Dialogue Policy Learning via Monte Carlo Tree Search with Dueling Network. 3461–3471. 7 indexed citations

6.

Niu, Di, et al.. (2019). Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. 2792–2798. 14 indexed citations

7.

Niu, Di, et al.. (2019). A Deep Generative Approach to Search Extrapolation and Recommendation. 1771–1779. 7 indexed citations

8.

Liu, Bang, et al.. (2018). Matching Long Text Documents via Graph Convolutional Networks. arXiv (Cornell University). 12 indexed citations

9.

Niu, Di, et al.. (2018). MIX. 110–119. 29 indexed citations

10.

Chung, Fu-Lai, et al.. (2017). Recommender system based on scarce information mining. Neural Networks. 93. 256–266. 7 indexed citations

11.

Niu, Di, et al.. (2016). Separating-Plane Factorization Models. 669–678. 9 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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