Junhua Ding
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Machine Learning and Data Classification 10
- Advanced Software Engineering Methodologies 9
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- Service-Oriented Architecture and Web Services 12
- Software Engineering Research 7
- Co-authors
- Haihua Chen (14 shared papers)Xin‐Hua Hu (9 shared papers)Xin‐Hua Hu (10 shared papers)Xiaojun Kang (5 shared papers)Jiangping Chen (3 shared papers)Wei Lu (1 shared paper)Lei Wu (1 shared paper)Venkat N. Gudivada (4 shared papers)
- Journals
- The Electronic Library (2 papers)Optics Express (2 papers)IEEE Access (2 papers)Software Quality Journal (1 paper)Information and Software Technology (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Junhua Ding
77 papers receiving 777 citations
Junhua Ding's Hit Papers
Peers
Comparison fields: 5 of 105
- Software 159
- Biophysics 82
- Artificial Intelligence 370
- Information Systems 222
- Computer Networks and Communications 145
Countries citing papers authored by Junhua Ding
This map shows the geographic impact of Junhua Ding'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 Junhua Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhua Ding more than expected).
Fields of papers citing papers by Junhua Ding
This network shows the impact of papers produced by Junhua Ding. 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 Junhua Ding. The network helps show where Junhua Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhua Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparative study of automated legal text classification using random forests and deep learning Hit paper breakdown → | 2021 | 143 |
| 2 | 2003 | 48 | |
| 3 | 2017 | 42 | |
| 4 | 2003 | 33 | |
| 5 | 2017 | 33 | |
| 6 | 2009 | 31 | |
| 7 | 2019 | 26 | |
| 8 | 2010 | 26 | |
| 9 | 2017 | 26 | |
| 10 | 2016 | 26 | |
| 11 | 2017 | 23 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2011 | 14 | |
| 20 | 2015 | 13 |
About Junhua Ding
Junhua Ding is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Software and Biophysics, having authored 83 papers that have together received 800 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (15 papers), Service-Oriented Architecture and Web Services (12 papers), Cell Image Analysis Techniques (12 papers), Machine Learning and Data Classification (10 papers), Advanced Software Engineering Methodologies (9 papers), Mobile Agent-Based Network Management (8 papers), Petri Nets in System Modeling (7 papers) and Software Engineering Research (7 papers). The work is most often cited by research in Software (159 citations), Biophysics (82 citations), Artificial Intelligence (370 citations), Information Systems (222 citations) and Computer Networks and Communications (145 citations). Junhua Ding has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Haihua Chen, Xin‐Hua Hu, Xin‐Hua Hu, Xiaojun Kang, Jiangping Chen, Wei Lu, Lei Wu, Venkat N. Gudivada, Jun Q. Lu and Xinchuan Li. Their work appears in journals such as The Electronic Library, Optics Express, IEEE Access, Software Quality Journal and Information and Software 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.