Chenliang Li

7.9k citations
134 papers · 4.5k indexed · 2 hit papers · h-index 32
Topics
Topic Modeling (65 papers)Recommender Systems and Techniques (47 papers)Advanced Graph Neural Networks (35 papers)

In The Last Decade

Chenliang Li

126 papers receiving 4.3k citations

Hit Papers

A Survey on Deep Learning for Named Entity Recognition202020262022202420202020250500750

Peers

Chenliang Li
Comparison fields: 5 of 139
  • Artificial Intelligence 3.4k
  • Information Systems 1.5k
  • Computer Vision and Pattern Recognition 595
  • Management Science and Operations Research 418
  • Statistical and Nonlinear Physics 417
Replace Jiafeng Guo with:
Jiafeng Guo China
Craig Macdonald United Kingdom
Iadh Ounis United Kingdom
Yanyan Lan China
Zhoujun Li China
Yangqiu Song China
Bo Pang China
Qi He United States
Jianyong Wang China
Ramesh Nallapati United States
Chenliang Li relative to Jiafeng Guo China Jiafeng Guo's profile →
Citations per field
00.5×3.5×
Jiafeng Guo · 1×
Citations per year

Countries citing papers authored by Chenliang Li

Since Specialization
Citations

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

Fields of papers citing papers by Chenliang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenliang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chenliang Li. A scholar is included among the top collaborators of Chenliang 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 Chenliang Li. Chenliang 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 8
6 1
7 11
8 17
9 1
10 4
11 5
12 1
13 5
14 2
15 8
16 22
17 11
18 4
19 10
20 232

About Chenliang Li

Chenliang Li is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 134 papers that have together received 4.5k indexed citations. Recurring topics across this work include Topic Modeling (65 papers), Recommender Systems and Techniques (47 papers) and Advanced Graph Neural Networks (35 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Information Systems (1.5k citations) and Statistical and Nonlinear Physics (417 citations). Chenliang Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Aixin Sun, Jing Li, Jianglei Han, Anwitaman Datta, Zongyang Ma, Donghong Ji, Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi and Qiji Zhou. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Information Sciences.

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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