Tongxin Bai
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Chen DingChengliang ZhangChengzhong XuGuoyao XuChengzhi LuKejiang YeKirk KelseyJoseph Modayil
- Topics
- Parallel Computing and Optimization Techniques (14 papers)Distributed systems and fault tolerance (10 papers)Distributed and Parallel Computing Systems (7 papers)
- Journals
- ACM SIGPLAN NoticesUR Research (University of Rochester)
- Partner nations
- United StatesChinaMacao
In The Last Decade
Tongxin Bai
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 309
- Hardware and Architecture 210
- Information Systems 164
- Computer Vision and Pattern Recognition 61
- Artificial Intelligence 52
Countries citing papers authored by Tongxin Bai
This map shows the geographic impact of Tongxin Bai'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 Tongxin Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tongxin Bai more than expected).
Fields of papers citing papers by Tongxin Bai
This network shows the impact of papers produced by Tongxin Bai. 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 Tongxin Bai. The network helps show where Tongxin Bai may publish in the future.
Co-authorship network of co-authors of Tongxin Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Tongxin Bai. A scholar is included among the top collaborators of Tongxin Bai 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 Tongxin Bai. Tongxin Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 111 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 43 | |
| 9 | 13 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 0 | |
| 15 | A Language of Suggestions for Program Parallelization | 2 |
| 16 | 72 | |
| 17 | Distributive Program Parallelization Using a Suggestion Language | 0 |
| 18 | 20 | |
| 19 | 52 | |
| 20 | 16 |
About Tongxin Bai
Tongxin Bai is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 20 papers that have together received 381 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Distributed systems and fault tolerance (10 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Hardware and Architecture (210 citations), Computer Networks and Communications (309 citations) and Information Systems (164 citations). Tongxin Bai has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Chen Ding, Chengliang Zhang, Chengzhong Xu, Guoyao Xu, Chengzhi Lu, Kejiang Ye, Kirk Kelsey, Joseph Modayil, Henry Kautz and Trishul Chilimbi. Their work appears in journals such as ACM SIGPLAN Notices and UR Research (University of Rochester).
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.