Jiajun Bu
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- Advanced Image and Video Retrieval Techniques 49
- Face and Expression Recognition 34
- Image Retrieval and Classification Techniques 33
- Artificial Intelligence top 0.2%
- Topic Modeling 30
- Advanced Graph Neural Networks 29
- Computer Networks and Communications top 0.5%
- Energy Efficient Wireless Sensor Networks 41
- Information Systems top 0.1%
- Recommender Systems and Techniques 36
- Media Technology top 0.5%
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- Complex Network Analysis Techniques 27
Jiajun Bu
339 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 3.1k
- Artificial Intelligence 3.7k
- Computer Networks and Communications 2.3k
- Information Systems 2.2k
- Media Technology 622
Countries citing papers authored by Jiajun Bu
This map shows the geographic impact of Jiajun Bu'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 Jiajun Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiajun Bu more than expected).
Fields of papers citing papers by Jiajun Bu
This network shows the impact of papers produced by Jiajun Bu. 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 Jiajun Bu. The network helps show where Jiajun Bu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiajun Bu, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 13 | |
| 16 | 2021 | 121 | |
| 17 | Joint shot boundary detection and key frame extraction | 2012 | 15 |
| 18 | Detecting discontinuities for surface reconstruction | 2012 | 3 |
| 19 | Spatial graphlet matching kernel for recognizing aerial image categories | 2012 | 13 |
| 20 | 2009 | 2 |
About Jiajun Bu
Jiajun Bu is a scholar working on Computer Vision and Pattern Recognition, Human Factors and Ergonomics and Artificial Intelligence, having authored 369 papers that have together received 8.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (49 papers), Energy Efficient Wireless Sensor Networks (41 papers), Recommender Systems and Techniques (36 papers), Face and Expression Recognition (34 papers), Image Retrieval and Classification Techniques (33 papers), Topic Modeling (30 papers), Advanced Graph Neural Networks (29 papers) and Complex Network Analysis Techniques (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Artificial Intelligence (3.7k citations) and Computer Networks and Communications (2.3k citations). Jiajun Bu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chun Chen, Guang Qiu, Daojing He, Sammy Chan, Deng Cai, Bing Liu, Mingli Song, Xiaofei He, Wei Dong and Can Wang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, Neural Networks, IEEE Transactions on Mobile Computing and IEEE/ACM Transactions on Networking.
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.