Hao Jin
Impact in
-
- Error Correcting Code Techniques
- Cooperative Communication and Network Coding
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
- Software 8
- Software Testing and Debugging Techniques 8
- Software Reliability and Analysis Research 7
-
- Software Engineering Research 4
- Cloud Computing and Resource Management 1
- Co-authors
- Tatsuhiro Tsuchiya (8 shared papers)S. Dolinar (1 shared paper)Robert J. McEliece (1 shared paper)D. Divsalar (1 shared paper)Ming Fang (1 shared paper)
- Journals
- Information and Software Technology (1 paper)Journal of Systems and Software (1 paper)Computers & Fluids (1 paper)Acta Mathematica Sinica English Series (1 paper)Mathematics (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Hao Jin
10 papers receiving 395 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 359
- Software 29
- Electrical and Electronic Engineering 333
- Artificial Intelligence 85
- Computational Theory and Mathematics 39
Countries citing papers authored by Hao Jin
This map shows the geographic impact of Hao Jin'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 Hao Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Jin more than expected).
Fields of papers citing papers by Hao Jin
This network shows the impact of papers produced by Hao Jin. 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 Hao Jin. The network helps show where Hao Jin may publish in the future.
Co-authors
The 5 scholars most cited alongside Hao Jin, 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 | Irregular repeat accumulate codes | 2000 | 375 |
| 2 | Characterize a Kind of Fault Tolerance of Alternating Group Network | 2012 | 10 |
| 3 | 2018 | 8 | |
| 4 | 2020 | 8 | |
| 5 | 2020 | 4 | |
| 6 | 2018 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2002 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 1 | |
| 11 | The Numerical Characteristics Analysis and Convergence Proof for Ant Colony Optimization Algorithm with Random Perturbation Behavior | 2004 | 0 |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 |
About Hao Jin
Hao Jin is a scholar working on Software, Information Systems, Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture, having authored 13 papers that have together received 417 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), Software Reliability and Analysis Research (7 papers), Software Engineering Research (4 papers), VLSI and Analog Circuit Testing (2 papers), Error Correcting Code Techniques (2 papers), Cloud Computing and Resource Management (1 paper), Engineering and Test Systems (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Computer Networks and Communications (359 citations), Software (29 citations), Electrical and Electronic Engineering (333 citations), Artificial Intelligence (85 citations) and Computational Theory and Mathematics (39 citations). Hao Jin has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Tatsuhiro Tsuchiya, S. Dolinar, Robert J. McEliece, D. Divsalar and Ming Fang. Their work appears in journals such as Information and Software Technology, Journal of Systems and Software, Computers & Fluids, Acta Mathematica Sinica English Series and Mathematics.
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.