Hao Zhong
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 0.5%
- Software Engineering Research
Papers in
- Software 58
- Software Testing and Debugging Techniques 49
- Software Reliability and Analysis Research 18
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- Software Engineering Research 69
- Web Data Mining and Analysis 7
Hao Zhong
209 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 158
- Software 844
- Information Systems 1.2k
- Signal Processing 393
- Ceramics and Composites 125
- Computer Networks and Communications 490
Countries citing papers authored by Hao Zhong
This map shows the geographic impact of Hao Zhong'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 Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Zhong more than expected).
Fields of papers citing papers by Hao Zhong
This network shows the impact of papers produced by Hao Zhong. 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 Zhong. The network helps show where Hao Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Zhong, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 27 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 8 | |
| 14 | Ultrasound-Guided Percutaneous A1 Pulley Release by Acupotomy (Needle-Knife): A Cadaveric Study of Safety and Efficacy | 2022 | 7 |
| 15 | 2022 | 15 | |
| 16 | 2019 | 37 | |
| 17 | 2019 | 14 | |
| 18 | The Mergers & Acquisitions Market Trends and Stock Market of China | 2014 | 1 |
| 19 | Microstructures and properties of a Mg-Li-Al-Zn wrought alloy | 2010 | 3 |
| 20 | Study of WRKY transcription factor superfamily | 2006 | 1 |
About Hao Zhong
Hao Zhong is a scholar working on Software, Information Systems, Signal Processing, Computer Networks and Communications and Acoustics and Ultrasonics, having authored 225 papers that have together received 2.9k indexed citations. Recurring topics across this work include Software Engineering Research (69 papers), Software Testing and Debugging Techniques (49 papers), Software System Performance and Reliability (30 papers), Advanced Malware Detection Techniques (21 papers), Software Reliability and Analysis Research (18 papers), Aluminum Alloy Microstructure Properties (10 papers), Aluminum Alloys Composites Properties (8 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Software (844 citations), Information Systems (1.2k citations), Signal Processing (393 citations), Ceramics and Composites (125 citations) and Computer Networks and Communications (490 citations). Hao Zhong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhendong Su, Hong Mei, Tao Xie, Paul Rometsch, Lu Zhang, Xuliang Liu, Yuri Estrin, Xiaoyin Wang, Shimon Y. Nof and Lingfei Cao. Their work appears in journals such as Journal of Systems and Software, Materials Science and Engineering A, Frontiers of Computer Science, Empirical Software Engineering and Measurement Science and Technology.
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.