Wei Bi

1.5k citations
42 papers · 484 · h-index 12

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques
    • Cryptography and Data Security
    • Multimodal Machine Learning Applications
    • Advanced Steganography and Watermarking Techniques
    • Chaos-based Image/Signal Encryption

Papers in

    • Topic Modeling 17
    • Natural Language Processing Techniques 14
    • Speech and dialogue systems 7
    • Domain Adaptation and Few-Shot Learning 2
    • Multimodal Machine Learning Applications 5
    • Advanced Steganography and Watermarking Techniques 2
    • Advanced Neural Network Applications 2

Wei Bi

40 papers receiving 473 citations

Peers

Wei Bi
Comparison fields: 5 of 70
  • Artificial Intelligence 319
  • Computer Vision and Pattern Recognition 138
  • Ophthalmology 28
  • Information Systems 45
  • Human-Computer Interaction 10
Replace Jiaxian Guo with:
Jiaxian Guo China
Takeshi Okadome Japan
Diego Peteiro-Barral Spain
Khalid M.O. Nahar Jordan
Agus Eko Minarno Indonesia
Cheng-Yuan Tang Taiwan
Neda Afreen India
Jyothisha J. Nair India
Dattatray V. Jadhav India
Milan Tripathi Nepal
Wei Bi relative to Jiaxian Guo China Jiaxian Guo's profile →
Citations per field
00.5×1.5×
Jiaxian Guo · 1×
Citations per year

Countries citing papers authored by Wei Bi

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Bi, 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 Wei Bi Line = papers co-authored together Wei Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 201952
3 202042
4 202137
5 201937
6 202031
7 201928
8 201925
9 201217
10 202016
11 202013
12 201812
13 202311
14 20209
15 20208
16 20198
17 20198
18 20228
19 20217
20 20187

About Wei Bi

Wei Bi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology, Biomedical Engineering and Information Systems, having authored 42 papers that have together received 484 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers), Speech and dialogue systems (7 papers), Multimodal Machine Learning Applications (5 papers), Color perception and design (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Artificial Intelligence (319 citations), Computer Vision and Pattern Recognition (138 citations), Ophthalmology (28 citations), Information Systems (45 citations) and Human-Computer Interaction (10 citations). Wei Bi has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiaojiang Liu, David P. Crabb, Nicholas D. Smith, Pete R. Jones, Qindong Sun, Chi-Ming Wu, Yanxiao Liu, Ching‐Nung Yang, Lingpeng Kong and James T. Kwok. Their work appears in journals such as Ophthalmic and Physiological Optics, IEEE Transactions on Fuzzy Systems, Investigative Ophthalmology & Visual Science, Multimedia Tools and Applications and Translational Vision Science & Technology.

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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