Wei Ye

3.0k total citations · 1 hit paper
41 papers, 1.4k citations indexed

About

Wei Ye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Wei Ye has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Wei Ye's work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (7 papers). Wei Ye is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (7 papers). Wei Ye collaborates with scholars based in China, United States and Cayman Islands. Wei Ye's co-authors include Yidong Wang, Jindong Wang, Xing Xie, Hao Chen, Yi Chang, Qiang Yang, Cunxiang Wang, Xiaoyuan Yi, Xu Wang and Yuan Wu and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Wei Ye

36 papers receiving 1.4k citations

Hit Papers

A Survey on Evaluation of Large Language Models 2024 2026 2025 2024 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey on Evaluation of Large Language Models
    2024 1.0k citations Xu Wang, Jindong Wang et al. ACM Transactions on Intelligent Systems and Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Ye China 13 756 237 181 155 120 41 1.4k
Fredrik Heintz Sweden 19 652 0.9× 224 0.9× 238 1.3× 270 1.7× 59 0.5× 97 1.7k
Weizhe Yuan United States 5 1.4k 1.8× 344 1.5× 122 0.7× 411 2.7× 85 0.7× 13 2.1k
Linyi Yang China 10 687 0.9× 179 0.8× 82 0.5× 113 0.7× 64 0.5× 24 1.3k
Peter Kieseberg Austria 17 328 0.4× 352 1.5× 175 1.0× 92 0.6× 180 1.5× 59 850
Kaijie Zhu China 3 552 0.7× 164 0.7× 79 0.4× 87 0.6× 49 0.4× 4 1.1k
Cunxiang Wang China 4 628 0.8× 165 0.7× 77 0.4× 106 0.7× 46 0.4× 16 1.1k
Zhengbao Jiang United States 11 1.8k 2.4× 485 2.0× 138 0.8× 508 3.3× 107 0.9× 16 2.6k

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-authorship network of co-authors of Wei Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Ye. A scholar is included among the top collaborators of Wei Ye 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 Wei Ye. Wei Ye 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
1.
Zhou, Xiaoling, et al.. (2025). Valuing Training Data via Causal Inference for In-Context Learning. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3824–3840.
2.
Xu, Yan, Liguo Chen, Yidong Wang, et al.. (2025). ISC4DGF: Enhancing Directed Grey-Box Fuzzing with Initial Seed Corpus Generation Driven by Large Language Models. Journal of Computer Science and Technology. 40(6). 1662–1677. 1 indexed citations
3.
Wang, Xu, Jindong Wang, Yuan Wu, et al.. (2024). A Survey on Evaluation of Large Language Models. ACM Transactions on Intelligent Systems and Technology. 15(3). 1–45. 1022 indexed citations breakdown →
4.
5.
Jiang, Hongqiang, et al.. (2024). Multiscale Characteristics and Connection Mechanisms of Attraction Networks: A Trajectory Data Mining Approach Leveraging Geotagged Data. Chinese Geographical Science. 34(3). 533–547. 1 indexed citations
6.
Song, Kaitao, et al.. (2023). MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. 246–255. 6 indexed citations
7.
Wang, Yidong, Jindong Wang, Hao Chen, et al.. (2023). Exploring Vision-Language Models for Imbalanced Learning. International Journal of Computer Vision. 132(1). 224–237. 13 indexed citations
8.
Xu, Haiyang, Wei Ye, Qinghao Ye, et al.. (2023). COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment. 4480–4491. 7 indexed citations
9.
Ye, Wei, et al.. (2023). Improving Knowledge Graph Completion with Generative Hard Negative Mining. 5866–5878. 3 indexed citations
10.
11.
Zhang, Tong, et al.. (2021). Multi-Hop Transformer for Document-Level Machine Translation. 3953–3963. 8 indexed citations
12.
Wang, Sen, et al.. (2021). QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval. 3734–3739. 7 indexed citations
13.
Song, Kaitao, Xu Tan, Yi Ren, et al.. (2021). SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13798–13805. 30 indexed citations
14.
Wang, Jianliang, Wei Ye, Li Yang, et al.. (2021). Design of Three-Dimensional Gesture Recognition and Motion Tracking Human-Computer Intelligent Interaction System based on PAJ7620. Journal of Physics Conference Series. 2005(1). 12085–12085.
15.
16.
Ye, Wei, et al.. (2020). Graph Enhanced Dual Attention Network for Document-Level Relation Extraction. 1551–1560. 42 indexed citations
17.
18.
Xi, Xiangyu, et al.. (2018). An Ensemble Approach for Detecting Anomalous User Behaviors. International Journal of Software Engineering and Knowledge Engineering. 28(11n12). 1637–1656. 6 indexed citations
19.
Li, Shuo, et al.. (2013). 39.9 GOPs/watt multi-mode CGRA accelerator for a multi-standard basestation. 1448–1451. 23 indexed citations
20.
Ye, Wei, et al.. (2009). Towards Passive RFID Event. 492–499. 7 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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