Bo Long
Impact in
- Information Systems top 2%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Data Stream Mining Techniques
Papers in
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- Recommender Systems and Techniques 13
- Web Data Mining and Analysis 4
- Expert finding and Q&A systems 3
-
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 2
- Advanced Graph Neural Networks 2
- Co-authors
- Deepak Agarwal (2 shared papers)Bee-Chung Chen (2 shared papers)Alexander J. Smola (1 shared paper)Zhaohui Zheng (1 shared paper)Hongyuan Zha (1 shared paper)Shuang-Hong Yang (1 shared paper)Lingfei Wu (7 shared papers)Zhihua Wei (3 shared papers)
- Journals
- AI Magazine (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Frontiers in Cardiovascular Medicine (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Bo Long
20 papers receiving 490 citations
Peers
Comparison fields: 5 of 59
- Information Systems 381
- Artificial Intelligence 304
- Management Science and Operations Research 107
- Computer Vision and Pattern Recognition 106
- Internal Medicine 13
Countries citing papers authored by Bo Long
This map shows the geographic impact of Bo Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Long more than expected).
Fields of papers citing papers by Bo Long
This network shows the impact of papers produced by Bo Long. 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 Long. The network helps show where Bo Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 108 | |
| 2 | 2022 | 77 | |
| 3 | 2011 | 54 | |
| 4 | 2016 | 52 | |
| 5 | 2014 | 47 | |
| 6 | 2021 | 36 | |
| 7 | 2022 | 35 | |
| 8 | 2023 | 23 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | Learning to Generate Visual Questions with Noisy Supervision | 2021 | 4 |
| 19 | 2023 | 4 | |
| 20 | 2020 | 1 |
About Bo Long
Bo Long is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Networks and Communications, having authored 21 papers that have together received 506 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (5 papers), Topic Modeling (5 papers), Web Data Mining and Analysis (4 papers), Image Retrieval and Classification Techniques (3 papers), Expert finding and Q&A systems (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Information Systems (381 citations), Artificial Intelligence (304 citations), Management Science and Operations Research (107 citations), Computer Vision and Pattern Recognition (106 citations) and Internal Medicine (13 citations). Bo Long has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Deepak Agarwal, Bee-Chung Chen, Alexander J. Smola, Zhaohui Zheng, Hongyuan Zha, Shuang-Hong Yang, Lingfei Wu, Zhihua Wei, Fangli Xu and Qi Shen. Their work appears in journals such as AI Magazine, ACM Transactions on Intelligent Systems and Technology, Frontiers in Cardiovascular Medicine, arXiv (Cornell University) and Neural Information Processing Systems.
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.