Mingwei Tang

893 citations
48 papers · 566 · h-index 12

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 11
    • Advanced Text Analysis Techniques 10
    • Topic Modeling 9
    • Text and Document Classification Technologies 7
    • Advanced Graph Neural Networks 5
    • Advanced Steganography and Watermarking Techniques 9
    • Chaos-based Image/Signal Encryption 9
    • Digital Media Forensic Detection 9

Mingwei Tang

46 papers receiving 549 citations

Peers

Mingwei Tang
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 216
  • Artificial Intelligence 274
  • Signal Processing 80
  • Software 23
  • Computer Networks and Communications 90
Replace Anto Satriyo Nugroho with:
Anto Satriyo Nugroho Indonesia
Su Zhang China
Maher Khemakhem Saudi Arabia
Nirmalya Kar India
Michele Merler United States
Shawn Shan United States
Jiaxing Zhang China
Eyal Ronen Israel
Yeong‐Seok Seo South Korea
Raphael Tang Canada
Mingwei Tang relative to Anto Satriyo Nugroho Indonesia Anto Satriyo Nugroho's profile →
Citations per field
00.5×5.7×
Anto Satriyo Nugroho · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mingwei Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingwei Tang Line = papers co-authored together Mingwei Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202283
2 201467
3 202152
4 202045
5 202240
6 202339
7 201529
8 201514
9 202413
10 202312
11 202311
12 201511
13 202211
14 202010
15 20249
16 20239
17 20229
18 20209
19 20238
20 20238

About Mingwei Tang

Mingwei Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Signal Processing, having authored 48 papers that have together received 566 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (10 papers), Advanced Steganography and Watermarking Techniques (9 papers), Chaos-based Image/Signal Encryption (9 papers), Topic Modeling (9 papers), Digital Media Forensic Detection (9 papers), Text and Document Classification Technologies (7 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (216 citations), Artificial Intelligence (274 citations), Signal Processing (80 citations), Software (23 citations) and Computer Networks and Communications (90 citations). Mingwei Tang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jie Hu, Zhen Wang, Wen Song, Xiaoliang Chen, Wei Tang, Yanting Wang, Xiaodi Wang, Mingfeng Zhao, Yajun Du and Chunhao Wang. Their work appears in journals such as Knowledge-Based Systems, Expert Systems with Applications, Optik, Digital Signal Processing and Applied Intelligence.

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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