Weina Hua
- Information Systems top 10%
- Statistics, Probability and Uncertainty top 5%
- Sociology and Political Science
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Xuelian PanErjia YanCui MingShunbo YuanYun ZhangYu LiYing ChengJiao Li
- Topics
- scientometrics and bibliometrics research (5 papers)Research Data Management Practices (4 papers)Web visibility and informetrics (3 papers)
- Cited by
- Statistics, Probability and UncertaintyHealth InformaticsInformation Systems and Management
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Weina Hua
19 papers receiving 471 citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Information Systems 87
- Statistics, Probability and Uncertainty 87
- Sociology and Political Science 57
- Artificial Intelligence 51
- Molecular Biology 45
Countries citing papers authored by Weina Hua
This map shows the geographic impact of Weina Hua'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 Weina Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weina Hua more than expected).
Fields of papers citing papers by Weina Hua
This network shows the impact of papers produced by Weina Hua. 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 Weina Hua. The network helps show where Weina Hua may publish in the future.
Co-authorship network of co-authors of Weina Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Weina Hua. A scholar is included among the top collaborators of Weina Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weina Hua. Weina Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | The impact of CSC Scholarships on scientific outputs and collaboration. | 1 |
| 5 | 7 | |
| 6 | 3 | |
| 7 | Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three toolsbreakdown → | 322 |
| 8 | How is CiteSpace Used and Cited in the Literature? An Analysis of the Articles Published in English and Chinese Core Journals. | 8 |
| 9 | 26 | |
| 10 | 20 | |
| 11 | 6 | |
| 12 | 33 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Research Progress of Social Tagging: Based on WoS,LISA,ACM and IEEE Databases | 1 |
| 17 | 12 | |
| 18 | 23 | |
| 19 | 2 | |
| 20 | Comparison between PR China and USA in the Field of Library and Information Sciences | 1 |
About Weina Hua
Weina Hua is a scholar working on Statistics, Probability and Uncertainty, Library and Information Sciences and Information Systems and Management, having authored 20 papers that have together received 500 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (5 papers), Research Data Management Practices (4 papers) and Web visibility and informetrics (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (87 citations), Health Informatics (12 citations) and Information Systems and Management (45 citations). Weina Hua has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xuelian Pan, Erjia Yan, Cui Ming, Shunbo Yuan, Yun Zhang, Yu Li, Ying Cheng, Jiao Li, Shen Liu and Haixia Sun. Their work appears in journals such as BMC Public Health, Scientometrics and Journal of Informetrics.
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.