Bo Pang
- Artificial Intelligence top 0.1%
- Information Systems top 0.5%
- Sociology and Political Science top 2%
- Computer Vision and Pattern Recognition top 2%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Lillian LeeShivakumar VaithyanathanRavi KumarCewu LuAndrew TomkinsKevin KnightDaniel MarcuYifan Zhang
- Topics
- Topic Modeling (12 papers)Advanced Neural Network Applications (9 papers)Web Data Mining and Analysis (8 papers)
- Journals
- Angewandte Chemie International EditionIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Access
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bo Pang
51 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 5.2k
- Information Systems 1.5k
- Sociology and Political Science 680
- Computer Vision and Pattern Recognition 489
- Statistical and Nonlinear Physics 386
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 of co-authors of Bo Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Bo Pang. A scholar is included among the top collaborators of Bo Pang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bo Pang. Bo Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | Great Question! Question Quality in Community Q&A | 32 |
| 13 | Spice it up? Mining Refinements to Online Instructions from User Generated Content | 10 |
| 14 | Attentional bias in the individuals with obsessive-compulsive disorder | 3 |
| 15 | 27 | |
| 16 | Search in the Lost Sense of ``Query'': Question Formulation in Web Search Queries and its Temporal Changes | 15 |
| 17 | Personalized Recommendation of User Comments via Factor Models | 25 |
| 18 | 112 | |
| 19 | 22 | |
| 20 | Using Very Simple Statistics for Review Search: An Exploration | 26 |
About Bo Pang
Bo Pang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 57 papers that have together received 6.2k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Advanced Neural Network Applications (9 papers) and Web Data Mining and Analysis (8 papers). The work is most often cited by research in Artificial Intelligence (5.2k citations), Information Systems (1.5k citations) and Statistical and Nonlinear Physics (386 citations). Bo Pang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lillian Lee, Shivakumar Vaithyanathan, Ravi Kumar, Cewu Lu, Andrew Tomkins, Kevin Knight, Daniel Marcu, Yifan Zhang, Yizhuo Li and Muchen Li. Their work appears in journals such as Angewandte Chemie International Edition, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.