Jiele Wu

1.0k total citations · 1 hit paper
4 papers, 624 citations indexed

About

Jiele Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Jiele Wu has authored 4 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Jiele Wu's work include Sentiment Analysis and Opinion Mining (3 papers), Multimodal Machine Learning Applications (2 papers) and Topic Modeling (2 papers). Jiele Wu is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Multimodal Machine Learning Applications (2 papers) and Topic Modeling (2 papers). Jiele Wu collaborates with scholars based in China and United States. Jiele Wu's co-authors include Hua Xu, Wenmeng Yu, Ziqi Yuan, Fanyang Meng, Yixiao Ma, Yilin Zhu, Kai-Cheng Yang, Chuxu Zhang, Chau-Wai Wong and Chunhui Zhang and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jiele Wu

4 papers receiving 612 citations

Hit Papers

Learning Modality-Specific Representations with Self-Supe... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiele Wu China 4 508 193 144 133 27 4 624
Wenmeng Yu China 4 580 1.1× 267 1.4× 211 1.5× 152 1.1× 31 1.1× 6 757
Wasifur Rahman United States 7 335 0.7× 125 0.6× 130 0.9× 74 0.6× 47 1.7× 13 480
Eli Pincus United States 4 368 0.7× 180 0.9× 132 0.9× 90 0.7× 29 1.1× 9 462
Dushyant Singh Chauhan India 9 429 0.8× 184 1.0× 138 1.0× 81 0.6× 64 2.4× 17 543
Sangwu Lee United States 5 319 0.6× 121 0.6× 120 0.8× 73 0.5× 41 1.5× 7 434
Chengfeng Mao United States 3 291 0.6× 106 0.5× 102 0.7× 65 0.5× 20 0.7× 4 367
Licai Sun China 11 270 0.5× 250 1.3× 140 1.0× 115 0.9× 39 1.4× 21 482
Haiyang Xu China 8 184 0.4× 96 0.5× 149 1.0× 67 0.5× 13 0.5× 26 328
Om Deshmukh United States 11 292 0.6× 128 0.7× 174 1.2× 204 1.5× 13 0.5× 49 525
Keiichiro Oura Japan 15 920 1.8× 107 0.6× 101 0.7× 666 5.0× 30 1.1× 69 1.1k

Countries citing papers authored by Jiele Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiele Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiele Wu

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

All Works

4 of 4 papers shown
1.
Wu, Jiele, et al.. (2022). GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. 548–557. 10 indexed citations
2.
Yu, Wenmeng, Hua Xu, Ziqi Yuan, & Jiele Wu. (2021). Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10790–10797. 388 indexed citations breakdown →
3.
Wu, Jiele, Chau-Wai Wong, Xinyan Zhao, & Xianpeng Liu. (2021). Toward Effective Automated Content Analysis via Crowdsourcing. 1–6. 6 indexed citations
4.
Yu, Wenmeng, Hua Xu, Fanyang Meng, et al.. (2020). CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality. 3718–3727. 220 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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