Wei Ye

3.3k citations
45 papers · 1.8k · 1 hit paper · h-index 15

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Semantic Web and Ontologies

Papers in

Wei Ye

41 papers receiving 1.8k citations

Wei Ye's Hit Papers

A Survey on Evaluation of Large Language Models 2024 · 1.3k citations
1.3k0+1Years since publication4008001.2k

Peers

Wei Ye
Comparison fields: 5 of 133
  • Health Informatics 91
  • Artificial Intelligence 893
  • Signal Processing 143
  • Information Systems 297
  • Software 52
Replace Linyi Yang with:
Linyi Yang China
Weizhe Yuan United States
Kaijie Zhu China
Cunxiang Wang China
Zhengbao Jiang United States
Yuan Wu China
Xiaoyuan Yi China
Wei Ye relative to Linyi Yang China Linyi Yang's profile →
Citations per field
00.5×10×13×
Linyi Yang · 1×
Citations per year

Countries citing papers authored by Wei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Ye, 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 Wei Ye Line = papers co-authored together Wei Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey on Evaluation of Large Language Models
Hit paper breakdown →
20241322
2 201757
3 202050
4 202137
5
COSYMA: a software-oriented approach to hardware/software codesign
199435
6 202133
7 201324
8 200821
9 202419
10 202116
11 201816
12 202315
13 202115
14 202114
15 201914
16 201912
17 202312
18 202410
19 20249
20 20239

About Wei Ye

Wei Ye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Signal Processing, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers), Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers), Anomaly Detection Techniques and Applications (4 papers), Software Engineering Research (4 papers), Network Security and Intrusion Detection (4 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Health Informatics (91 citations), Artificial Intelligence (893 citations), Signal Processing (143 citations), Information Systems (297 citations) and Software (52 citations). Wei Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yidong Wang, Jindong Wang, Hao Chen, Xing Xie, Qiang Yang, Philip S. Yu, Xiaoyuan Yi, Yi Chang, Cunxiang Wang and Xu Wang. Their work appears in journals such as International Journal of Computer Vision, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Knowledge and Data Engineering, Chinese Geographical Science and Lecture notes in computer science.

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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