Yang Da
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Computer Science Applications top 10%
- Open Source Software Innovations
Papers in
-
- Software Engineering Research 5
- Software Engineering Techniques and Practices 4
- Genetics 8
- Genetic Associations and Epidemiology 7
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Daniel Dvorkin (2 shared papers)Li Ma (3 shared papers)Hakizumwami Birali Runesha (2 shared papers)John Garbe (1 shared paper)Barry Boehm (3 shared papers)Di Wu (3 shared papers)Shengwen Wang (1 shared paper)Mingshu Li (4 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Frontiers in Oncology (1 paper)Immunogenetics (1 paper)Genomics (1 paper)Engineering Geology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yang Da
34 papers receiving 476 citations
Peers
Comparison fields: 5 of 115
- Software 44
- Computer Science Applications 53
- Genetics 166
- Information Systems 122
- Communication 32
Countries citing papers authored by Yang Da
This map shows the geographic impact of Yang Da'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 Yang Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Da more than expected).
Fields of papers citing papers by Yang Da
This network shows the impact of papers produced by Yang Da. 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 Yang Da. The network helps show where Yang Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Da, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 90 | |
| 2 | 2010 | 63 | |
| 3 | 2008 | 62 | |
| 4 | 2012 | 46 | |
| 5 | 2008 | 41 | |
| 6 | 2022 | 31 | |
| 7 | 2023 | 22 | |
| 8 | 2006 | 19 | |
| 9 | 1995 | 17 | |
| 10 | 2010 | 14 | |
| 11 | 1995 | 13 | |
| 12 | 2010 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2007 | 6 | |
| 18 | 1995 | 6 | |
| 19 | Flood Events Since 5000 a B.P. Recorded in Natural Sediments of Zhongba Site, Chuanjiang River | 2004 | 6 |
| 20 | 2022 | 4 |
About Yang Da
Yang Da is a scholar working on Information Systems, Genetics, Computer Networks and Communications, Artificial Intelligence and Computer Science Applications, having authored 41 papers that have together received 494 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Software Engineering Research (5 papers), Open Source Software Innovations (4 papers), Software Engineering Techniques and Practices (4 papers), Wikis in Education and Collaboration (3 papers), Genetic and phenotypic traits in livestock (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Software (44 citations), Computer Science Applications (53 citations), Genetics (166 citations), Information Systems (122 citations) and Communication (32 citations). Yang Da has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Daniel Dvorkin, Li Ma, Hakizumwami Birali Runesha, John Garbe, Barry Boehm, Di Wu, Shengwen Wang, Mingshu Li, Jing Yang and Harris A. Lewin. Their work appears in journals such as BMC Bioinformatics, Frontiers in Oncology, Immunogenetics, Genomics and Engineering Geology.
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.