Xiaojun Bi
- Human-Computer Interaction top 0.1%
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Co-authors
- Shumin ZhaiRavin BalakrishnanYang LiBarton A. SmithTom OuyangYuanchun ShiKurt PartridgeChun Yu
- Topics
- Interactive and Immersive Displays (60 papers)Tactile and Sensory Interactions (56 papers)Gaze Tracking and Assistive Technology (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaHuman-Computer InteractionProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaojun Bi
82 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 75
- Human-Computer Interaction 1.3k
- Cognitive Neuroscience 996
- Computer Vision and Pattern Recognition 423
- Artificial Intelligence 117
- Information Systems and Management 80
Countries citing papers authored by Xiaojun Bi
This map shows the geographic impact of Xiaojun 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 Xiaojun Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Bi more than expected).
Fields of papers citing papers by Xiaojun Bi
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Bi. The network helps show where Xiaojun Bi may publish in the future.
Co-authorship network of co-authors of Xiaojun Bi
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Bi. A scholar is included among the top collaborators of Xiaojun Bi 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 Xiaojun Bi. Xiaojun Bi 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | Constrained Optimization Algorithm Based on Double Populations | 0 |
| 14 | 1 | |
| 15 | 31 | |
| 16 | 65 | |
| 17 | 52 | |
| 18 | 37 | |
| 19 | A Monolithic InGaP/GaAs HBT PA for TD-SCDMA Handset Application | 1 |
| 20 | 3 |
About Xiaojun Bi
Xiaojun Bi is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Human Factors and Ergonomics, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (60 papers), Tactile and Sensory Interactions (56 papers) and Gaze Tracking and Assistive Technology (21 papers). The work is most often cited by research in Human-Computer Interaction (1.3k citations), Cognitive Neuroscience (996 citations) and Computer Vision and Pattern Recognition (423 citations). Xiaojun Bi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Shumin Zhai, Ravin Balakrishnan, Yang Li, Barton A. Smith, Tom Ouyang, Yuanchun Shi, Kurt Partridge, Chun Yu, I. V. Ramakrishnan and Ken Hinckley. Their work appears in journals such as SHILAP Revista de lepidopterología, Human-Computer Interaction and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.