Zeyang Lei

644 citations
17 papers · 365 · h-index 8

Impact in

    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Advanced Graph Neural Networks
    • Multimodal Machine Learning Applications

Papers in

    • Topic Modeling 10
    • Sentiment Analysis and Opinion Mining 6
    • Text and Document Classification Technologies 5
    • Advanced Text Analysis Techniques 4
    • Natural Language Processing Techniques 4
    • Speech and dialogue systems 3
    • Multimodal Machine Learning Applications 3

Zeyang Lei

15 papers receiving 356 citations

Peers

Zeyang Lei
Comparison fields: 5 of 58
  • Artificial Intelligence 313
  • Computer Vision and Pattern Recognition 58
  • Information Systems 42
  • Signal Processing 18
  • General Social Sciences 3
Replace Oren Melamud with:
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Muyun Yang China
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Zeyang Lei relative to Oren Melamud Israel Oren Melamud's profile →
Citations per field
00.5×1.5×2.3×
Oren Melamud · 1×
Citations per year

Countries citing papers authored by Zeyang Lei

Since Specialization
Citations

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

Fields of papers citing papers by Zeyang Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zeyang Lei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zeyang Lei Line = papers co-authored together Zeyang Lei links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018217
2 201833
3 201925
4 201821
5 201819
6 202114
7 202011
8 20227
9 20186
10 20204
11 20222
12 20222
13 20202
14 20191
15 20201
16 20240
17 20230

About Zeyang Lei

Zeyang Lei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Communication and Computer Networks and Communications, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (6 papers), Text and Document Classification Technologies (5 papers), Advanced Text Analysis Techniques (4 papers), Natural Language Processing Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Speech and dialogue systems (3 papers) and Digital Games and Media (1 paper). The work is most often cited by research in Artificial Intelligence (313 citations), Computer Vision and Pattern Recognition (58 citations), Information Systems (42 citations), Signal Processing (18 citations) and General Social Sciences (3 citations). Zeyang Lei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Yang, Wei Zhao, Jianbo Ye, Zhou Zhao, Yujiu Yang, Zheng-Yu Niu, Haifeng Wang, Hua Wu, Wanxiang Che and Jun Xu. Their work appears in journals such as Information Processing & Management, Computer Speech & Language, Journal of Web Semantics, Journal of Physics Conference Series and Proceedings of the AAAI Conference on Artificial Intelligence.

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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