Xianghua Ding
- Human-Computer Interaction top 2%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Artificial Intelligence
- Demography top 5%
- Co-authors
- Ning GuTun LuSilvia LindtnerYuling SunPeng ZhangXinning GuiYunan ChenDarren Edge
- Topics
- Innovative Human-Technology Interaction (16 papers)Digital Mental Health Interventions (7 papers)Mobile Crowdsensing and Crowdsourcing (6 papers)
- Journals
- Knowledge-Based SystemsFuture Generation Computer SystemsInternational Journal of Human-Computer Studies
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xianghua Ding
66 papers receiving 621 citations
Peers
Comparison fields: 5 of 101
- Human-Computer Interaction 192
- Information Systems 187
- Sociology and Political Science 153
- Artificial Intelligence 91
- Demography 87
Countries citing papers authored by Xianghua Ding
This map shows the geographic impact of Xianghua 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 Xianghua Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianghua Ding more than expected).
Fields of papers citing papers by Xianghua Ding
This network shows the impact of papers produced by Xianghua 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 Xianghua Ding. The network helps show where Xianghua Ding may publish in the future.
Co-authorship network of co-authors of Xianghua Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Xianghua Ding. A scholar is included among the top collaborators of Xianghua Ding 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 Xianghua Ding. Xianghua Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | Predicting Collaborative Edits of Questions and Answers in Online Q&A Sites | 3 |
| 14 | 20 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 6 | |
| 18 | 17 | |
| 19 | 53 | |
| 20 | 44 |
About Xianghua Ding
Xianghua Ding is a scholar working on Human-Computer Interaction, Computer Science Applications and Applied Psychology, having authored 69 papers that have together received 645 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (16 papers), Digital Mental Health Interventions (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). The work is most often cited by research in Human-Computer Interaction (192 citations), Computer Science Applications (67 citations) and Information Systems and Management (69 citations). Xianghua Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ning Gu, Tun Lu, Silvia Lindtner, Yuling Sun, Peng Zhang, Xinning Gui, Yunan Chen, Darren Edge, Xiang Cao and David Kirk. Their work appears in journals such as Knowledge-Based Systems, Future Generation Computer Systems and International Journal of Human-Computer Studies.
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.