Wei Tao

760 total citations · 1 hit paper
10 papers, 445 citations indexed

About

Wei Tao is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Wei Tao has authored 10 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Wei Tao's work include Software Engineering Research (3 papers), Software System Performance and Reliability (2 papers) and Topic Modeling (2 papers). Wei Tao is often cited by papers focused on Software Engineering Research (3 papers), Software System Performance and Reliability (2 papers) and Topic Modeling (2 papers). Wei Tao collaborates with scholars based in China, Australia and Italy. Wei Tao's co-authors include Wenqiang Zhang, Dawei Yang, Antonio Liotta, Shuyong Gao, Yixuan Sun, Wei Zhang, Weifeng Ge, Wei Song, Xinlei Li and Yan Wang and has published in prestigious journals such as Tetrahedron, Information Fusion and Empirical Software Engineering.

In The Last Decade

Wei Tao

9 papers receiving 436 citations

Hit Papers

align trajectories

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.

A systematic review on affective computing: emotion models, databases, and recent advances

2022 298 citations Yan Wang, Wei Song et al. Information Fusion profile →

Peers

Wei Tao

ECP

AI

CVPR

CN

CNC

Değer Ayata Türkiye

Suja Palaniswamy India

V. Tzouvaras Greece

Ibrahiem M. M. El Emary Saudi Arabia

Amílcar Cardoso Portugal

Charlie K. Dagli United States

Yelin Kim United States

Michał R. Wróbel Poland

Samarth Tripathi India

Mirela Popa Netherlands

Değer Ayata Türkiye

Wei Tao

212 ×1.1

ECP

117 ×0.7

AI

86 ×0.9

CVPR

178 ×2.0

CN

19 ×0.3

CNC

Citations per year, relative to Wei Tao Wei Tao (= 1×) peers Değer Ayata

Countries citing papers authored by Wei Tao

Since Specialization

Citations

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

Fields of papers citing papers by Wei Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Tao

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Wu, Yifan, Yunpeng Wang, Ying Li, et al.. (2025). An Empirical Study on Commit Message Generation Using LLMs via In-Context Learning. 553–565.

2.

Tao, Wei, Yucheng Zhou, Yanlin Wang, et al.. (2024). KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. ACM Transactions on Software Engineering and Methodology. 33(5). 1–32. 8 indexed citations

3.

Tao, Wei, Yanlin Wang, Ensheng Shi, et al.. (2022). A large-scale empirical study of commit message generation: models, datasets and evaluation. Empirical Software Engineering. 27(7). 13 indexed citations

4.

Tao, Wei, et al.. (2022). Type-Aware Medical Visual Question Answering. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4838–4842. 7 indexed citations

5.

Wang, Yan, Wei Song, Wei Tao, et al.. (2022). A systematic review on affective computing: emotion models, databases, and recent advances. Information Fusion. 83-84. 19–52. 298 indexed citations breakdown →

6.

Zhou, Yucheng, Wei Tao, & Wenqiang Zhang. (2021). Triple Sequence Generative Adversarial Nets for Unsupervised Image Captioning. 7598–7602. 11 indexed citations

7.

Tao, Wei, Yanlin Wang, Ensheng Shi, et al.. (2021). On the Evaluation of Commit Message Generation Models: An Experimental Study. 126–136. 31 indexed citations

8.

Yang, Zheng, Zeyan Li, Weibin Meng, et al.. (2020). ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks. 2479–2488. 54 indexed citations

9.

Tao, Wei, Wen Zhou, Zhu Zhou, et al.. (2016). An enantioselective total synthesis of tubulysin V. Tetrahedron. 72(39). 5928–5933. 20 indexed citations

10.

Hu, Kai, et al.. (2011). Evaluation of the Bioequivalence and Pharmacokinetics of Two Formulations of Secnidazole after Single Oral Administration in Healthy Volunteers. Arzneimittelforschung. 57(11). 723–726. 3 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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