Wen Wu

1.1k total citations
20 papers, 205 citations indexed

About

Wen Wu is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wen Wu has authored 20 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Experimental and Cognitive Psychology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wen Wu's work include Sentiment Analysis and Opinion Mining (6 papers), Emotion and Mood Recognition (6 papers) and Speech Recognition and Synthesis (4 papers). Wen Wu is often cited by papers focused on Sentiment Analysis and Opinion Mining (6 papers), Emotion and Mood Recognition (6 papers) and Speech Recognition and Synthesis (4 papers). Wen Wu collaborates with scholars based in China, United Kingdom and South Sudan. Wen Wu's co-authors include Philip C. Woodland, Chao Zhang, Beata Walczak, Tomasz Czekaj, Luwei Xiao, Xingjiao Wu, Liang He, Jing Yang, Mengyue Wu and Kai Yu and has published in prestigious journals such as The Analyst, Surgical Endoscopy and Journal of Chemometrics.

In The Last Decade

Wen Wu

18 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Wu China 9 74 61 43 34 29 20 205
Jamal Mustafa Al-Tuwaijari Iraq 6 56 0.8× 5 0.1× 54 1.3× 13 0.4× 10 0.3× 15 290
Sohail Masood Bhatti Pakistan 10 95 1.3× 29 0.5× 4 0.1× 8 0.2× 28 1.0× 24 220
Paul Prasse Germany 9 73 1.0× 4 0.1× 40 0.9× 30 0.9× 40 1.4× 27 238
Tamilvizhi Thanarajan India 7 50 0.7× 8 0.1× 8 0.2× 9 0.3× 7 0.2× 16 265
Md Sah Hj Salam Malaysia 8 112 1.5× 15 0.2× 10 0.2× 5 0.1× 34 1.2× 17 276
Surendra Shetty India 9 153 2.1× 22 0.4× 7 0.2× 9 0.3× 101 3.5× 25 280
Nitesh Pradhan India 10 107 1.4× 8 0.1× 3 0.1× 15 0.4× 9 0.3× 24 223
Milad Makkie United States 7 43 0.6× 18 0.3× 3 0.1× 4 0.1× 18 0.6× 9 232
Arun Kumar Dubey India 9 46 0.6× 17 0.3× 2 0.0× 9 0.3× 12 0.4× 43 202
B. Yamini India 8 57 0.8× 12 0.2× 5 0.1× 8 0.2× 15 0.5× 39 213

Countries citing papers authored by Wen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Wu. A scholar is included among the top collaborators of Wen 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 Wen Wu. Wen Wu 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.
Wang, Guoqing, et al.. (2025). Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 25353–25361.
2.
Zhang, Xigang, Feng Li, Ruirui Zhang, et al.. (2024). A deep neural network improves endoscopic detection of laterally spreading tumors. Surgical Endoscopy. 39(2). 776–785. 3 indexed citations
3.
Ma, Ziyang, et al.. (2024). Leveraging Speech PTM, Text LLM, And Emotional TTS For Speech Emotion Recognition. 11146–11150. 15 indexed citations
4.
Wu, Wen, et al.. (2024). Van-DETR: enhanced real-time object detection with vanillanet and advanced feature fusion. The Visual Computer. 41(6). 4221–4238. 2 indexed citations
5.
Wu, Wen, Chao Zhang, & Philip C. Woodland. (2023). Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression. 15681–15695. 2 indexed citations
6.
7.
8.
Wu, Wen, Chao Zhang, & Philip C. Woodland. (2023). Distribution-Based Emotion Recognition in Conversation. 860–867. 5 indexed citations
9.
Wu, Wen, Chao Zhang, & Philip C. Woodland. (2023). Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations. arXiv (Cornell University). 3607–3611. 2 indexed citations
10.
Xia, Weibo, Qiang Liu, Zhenlin Zhang, et al.. (2022). Prevalent vertebral fractures among urban-dwelling Chinese postmenopausal women: a population-based, randomized-sampling, cross-sectional study. Archives of Osteoporosis. 17(1). 120–120. 11 indexed citations
11.
Xiao, Luwei, Xingjiao Wu, Wen Wu, Jing Yang, & Liang He. (2022). Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4578–4582. 22 indexed citations
12.
Wu, Wen, Mengyue Wu, & Kai Yu. (2022). Climate and Weather: Inspecting Depression Detection via Emotion Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6262–6266. 10 indexed citations
13.
Wu, Wen, Chao Zhang, Xixin Wu, & Philip C. Woodland. (2022). Estimating the Uncertainty in Emotion Class Labels With Utterance-Specific Dirichlet Priors. IEEE Transactions on Affective Computing. 14(4). 2810–2822. 7 indexed citations
14.
Wu, Wen, Chao Zhang, & Philip C. Woodland. (2021). Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations. arXiv (Cornell University). 6269–6273. 40 indexed citations
15.
Wu, Wen, Zan Li, Shuai Ma, & Jia Shi. (2019). Performance improvement for machine learning‐based cooperative spectrum sensing by feature vector selection. IET Communications. 14(7). 1081–1089. 8 indexed citations
16.
Liu, Jian, et al.. (2014). LRP5 Polymorphisms and Response to Alendronate Treatment in Chinese Postmenopausal Women With Osteoporosis. Pharmacogenomics. 15(6). 821–831. 15 indexed citations
17.
Wu, Wen, et al.. (2014). Real-time Collision Detection with Two-level Spatial Hashing on GPU. Eurographics. 1 indexed citations
18.
Li, Mei, Zhenlin Zhang, Ling‐Qing Yuan, et al.. (2012). Effect of low-dose alendronate treatment on bone mineral density and bone turnover markers in Chinese postmenopausal women with osteopenia and osteoporosis. Menopause The Journal of The North American Menopause Society. 20(1). 72–78. 9 indexed citations
19.
Czekaj, Tomasz, Wen Wu, & Beata Walczak. (2005). About kernel latent variable approaches and SVM. Journal of Chemometrics. 19(5-7). 341–354. 41 indexed citations
20.
Wu, Wen, et al.. (1996). Feature selection for the discrimination between pollution types with partial least squares modelling. The Analyst. 121(11). 1603–1603. 11 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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