Jinman Zhao
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 5%
- Software Engineering Research
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 4
- Text Readability and Simplification 3
- Co-authors
- Yuchi Tian (1 shared paper)Satish Chandra (1 shared paper)Seohyun Kim (1 shared paper)Sidharth Mudgal (1 shared paper)Yingyu Liang (2 shared papers)Zhidong Zhang (2 shared papers)Jing Zhang (2 shared papers)Liwei Wang (1 shared paper)
- Journals
- Forests (2 papers)Information and Computation (1 paper)Journal of Alloys and Compounds (1 paper)Frontiers in Psychology (1 paper)Materials Characterization (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Jinman Zhao
14 papers receiving 211 citations
Peers
Comparison fields: 5 of 47
- Software 72
- Information Systems 116
- Signal Processing 34
- Artificial Intelligence 88
- Health Informatics 3
Countries citing papers authored by Jinman Zhao
This map shows the geographic impact of Jinman Zhao'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 Jinman Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinman Zhao more than expected).
Fields of papers citing papers by Jinman Zhao
This network shows the impact of papers produced by Jinman Zhao. 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 Jinman Zhao. The network helps show where Jinman Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinman Zhao, 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 | 2021 | 132 | |
| 2 | 2018 | 23 | |
| 3 | 2024 | 23 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 4 | |
| 7 | The Effect of Network Width on the Performance of Large-batch Training | 2018 | 4 |
| 8 | 2016 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2024 | 0 |
About Jinman Zhao
Jinman Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Nature and Landscape Conservation and Mathematical Physics, having authored 17 papers that have together received 218 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Software Engineering Research (3 papers), Text Readability and Simplification (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Stochastic processes and statistical mechanics (2 papers), Ecology and Vegetation Dynamics Studies (2 papers) and Aluminum Alloy Microstructure Properties (2 papers). The work is most often cited by research in Software (72 citations), Information Systems (116 citations), Signal Processing (34 citations), Artificial Intelligence (88 citations) and Health Informatics (3 citations). Jinman Zhao has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Yuchi Tian, Satish Chandra, Seohyun Kim, Sidharth Mudgal, Yingyu Liang, Zhidong Zhang, Jing Zhang, Liwei Wang, Balaji Narayanaswamy and Yitong Yin. Their work appears in journals such as Forests, Information and Computation, Journal of Alloys and Compounds, Frontiers in Psychology and Materials Characterization.
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.