Bo Pang
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- Traditional Chinese Medicine Studies 3
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining 2
- Language and Linguistics top 10%
- Linguistics and Cultural Studies 2
- Information Systems top 5%
- Spam and Phishing Detection 2
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- Advanced Vision and Imaging 3
- Medical Image Segmentation Techniques 2
- Image Retrieval and Classification Techniques 2
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- Power Line Communications and Noise 2
- Co-authors
- Lillian LeeJon KleinbergCristian Danescu-Niculescu-MizilYuanchao LiuDavid ZhangXiaolong WangTao LiuKuanquan Wang
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (1 paper)Composites Part A Applied Science and Manufacturing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bo Pang
27 papers receiving 578 citations
Peers
Comparison fields: 5 of 114
- Complementary and alternative medicine 96
- Artificial Intelligence 184
- Language and Linguistics 54
- Communication 34
- Information Systems 107
Countries citing papers authored by Bo Pang
This map shows the geographic impact of Bo Pang'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 Bo Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Pang more than expected).
Fields of papers citing papers by Bo Pang
This network shows the impact of papers produced by Bo Pang. 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 Bo Pang. The network helps show where Bo Pang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Pang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 54 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 59 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 48 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2012 | 178 | |
| 18 | 2012 | 0 | |
| 19 | 2011 | 1 | |
| 20 | 2005 | 46 |
About Bo Pang
Bo Pang is a scholar working on Complementary and alternative medicine, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty, having authored 29 papers that have together received 603 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (3 papers), Advanced Vision and Imaging (3 papers), Spam and Phishing Detection (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Medical Image Segmentation Techniques (2 papers), Linguistics and Cultural Studies (2 papers), Image Retrieval and Classification Techniques (2 papers) and Power Line Communications and Noise (2 papers). The work is most often cited by research in Complementary and alternative medicine (96 citations), Artificial Intelligence (184 citations) and Language and Linguistics (54 citations). Bo Pang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lillian Lee, Jon Kleinberg, Cristian Danescu-Niculescu-Mizil, Yuanchao Liu, David Zhang, Xiaolong Wang, Tao Liu, Kuanquan Wang, Bo Huang and Chuanhui Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Composites Part A Applied Science and Manufacturing.
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.