Mingwei Tang

893 total citations
48 papers, 566 citations indexed

About

Mingwei Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mingwei Tang has authored 48 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Mingwei Tang's work include Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (10 papers) and Topic Modeling (9 papers). Mingwei Tang is often cited by papers focused on Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (10 papers) and Topic Modeling (9 papers). Mingwei Tang collaborates with scholars based in China, Canada and United States. Mingwei Tang's co-authors include Jie Hu, Zhen Wang, Wen Song, Xiaoliang Chen, Wei Tang, Yanting Wang, Xiaodi Wang, Mingfeng Zhao, Yajun Du and Chunhao Wang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Mingwei Tang

46 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingwei Tang China 12 274 216 90 84 80 48 566
Jiaxing Zhang China 10 316 1.2× 132 0.6× 101 1.1× 126 1.5× 30 0.4× 32 504
Anto Satriyo Nugroho Indonesia 10 200 0.7× 158 0.7× 195 2.2× 177 2.1× 232 2.9× 61 572
Su Zhang China 11 85 0.3× 67 0.3× 86 1.0× 140 1.7× 66 0.8× 40 358
Maher Khemakhem Saudi Arabia 13 206 0.8× 186 0.9× 184 2.0× 171 2.0× 37 0.5× 75 581
Michele Merler United States 14 197 0.7× 393 1.8× 15 0.2× 56 0.7× 68 0.8× 35 597
Nirmalya Kar India 10 86 0.3× 185 0.9× 57 0.6× 70 0.8× 53 0.7× 35 354
Jae‐Cheol Ryou South Korea 13 137 0.5× 115 0.5× 241 2.7× 247 2.9× 138 1.7× 79 516
Shawn Shan United States 8 676 2.5× 170 0.8× 126 1.4× 66 0.8× 215 2.7× 12 824
Kamal A. ElDahshan Egypt 10 153 0.6× 181 0.8× 78 0.9× 76 0.9× 53 0.7× 53 373
Emad E. Abdallah Jordan 12 125 0.5× 202 0.9× 184 2.0× 105 1.3× 71 0.9× 40 502

Countries citing papers authored by Mingwei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Mingwei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingwei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingwei Tang. A scholar is included among the top collaborators of Mingwei Tang 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 Mingwei Tang. Mingwei Tang 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.
Tang, Mingwei, et al.. (2025). Action-Prompt: A unified visual prompt and fusion network for enhanced video action recognition. Knowledge-Based Systems. 318. 113547–113547. 1 indexed citations
2.
Tang, Mingwei, et al.. (2025). A refined methodology for small object detection: Multi-scale feature extraction and cross-stage feature fusion network. Digital Signal Processing. 164. 105297–105297. 1 indexed citations
3.
4.
Tang, Mingwei, et al.. (2025). Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction. Big Data Research. 39. 100506–100506. 1 indexed citations
5.
Tang, Mingwei, et al.. (2024). A dual graph neural networks model using sequence embedding as graph nodes for vulnerability detection. Information and Software Technology. 177. 107581–107581. 1 indexed citations
6.
Tang, Mingwei, et al.. (2024). Dual-enhanced generative model with graph attention network and contrastive learning for aspect sentiment triplet extraction. Knowledge-Based Systems. 301. 112342–112342. 9 indexed citations
7.
Tang, Mingwei, et al.. (2024). Spatio-temporal adaptive convolution and bidirectional motion difference fusion for video action recognition. Expert Systems with Applications. 255. 124917–124917. 7 indexed citations
8.
Tang, Mingwei, et al.. (2024). INA-Net: An integrated noise-adaptive attention neural network for enhanced medical image segmentation. Expert Systems with Applications. 258. 125078–125078. 4 indexed citations
9.
Gu, Xu, Xiaoliang Chen, Min Yang, Yajun Du, & Mingwei Tang. (2024). Bi-DNE: bilayer evolutionary pattern preserved embedding for dynamic networks. Complex & Intelligent Systems. 10(3). 3763–3788. 2 indexed citations
10.
Wan, Minghua, et al.. (2023). Robust latent nonnegative matrix factorization with automatic sparse reconstruction for unsupervised feature extraction. Information Sciences. 648. 119517–119517. 4 indexed citations
11.
Tang, Mingwei, Lin Zhu, Yangsheng Xu, & Mingfeng Zhao. (2023). Dual-stream reinforcement network for few-shot image segmentation. Digital Signal Processing. 134. 103911–103911. 3 indexed citations
12.
Wang, Taotao, et al.. (2023). Complexity-Driven Trust Dynamics in Human–Robot Interactions: Insights from AI-Enhanced Collaborative Engagements. Applied Sciences. 13(24). 12989–12989. 8 indexed citations
13.
Wang, Pengcheng, et al.. (2023). A novel adaptive marker segmentation graph convolutional network for aspect-level sentiment analysis. Knowledge-Based Systems. 270. 110559–110559. 12 indexed citations
14.
Tang, Mingwei, et al.. (2023). A vulnerability detection algorithm based on residual graph attention networks for source code imbalance (RGAN). Expert Systems with Applications. 238. 122216–122216. 11 indexed citations
15.
Xu, Yangsheng, et al.. (2023). Document-level relation extraction with entity mentions deep attention. Computer Speech & Language. 84. 101574–101574. 8 indexed citations
16.
Tang, Mingwei, et al.. (2023). A micro-expression recognition algorithm based on feature enhancement and attention mechanisms. Virtual Reality. 27(3). 2405–2416. 9 indexed citations
17.
Tang, Mingwei, et al.. (2022). A novel multi-module integrated intrusion detection system for high-dimensional imbalanced data. Applied Intelligence. 53(1). 272–288. 83 indexed citations
18.
Tang, Mingwei, et al.. (2022). A Quantitative Study of Impact of Incentive to Quality of Software Reviews. 54–63. 1 indexed citations
19.
Tang, Mingwei, et al.. (2020). An ontology-improved vector space model for semantic retrieval. The Electronic Library. 38(5/6). 919–942. 4 indexed citations
20.
Tang, Mingwei, et al.. (2015). An adaptive image steganography using AMBTC compression and interpolation technique. Optik. 127(1). 471–477. 29 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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