Jialun Aaron Jiang
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Communication top 2%
- Information Systems top 10%
- Social Psychology
- Co-authors
- Jed R. BrubakerCasey FieslerMorgan Klaus ScheuermanBenjamin Mako HillSvetlana YaroshDonghee Yvette WohnSarah GilbertShagun Jhaver
- Topics
- Social Media and Politics (9 papers)Hate Speech and Cyberbullying Detection (9 papers)Misinformation and Its Impacts (3 papers)
- Journals
- PLoS ONEACM Transactions on Computer-Human InteractionProceedings of the ACM on Human-Computer Interaction
- Partner nations
- United States
In The Last Decade
Jialun Aaron Jiang
17 papers receiving 513 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 297
- Sociology and Political Science 233
- Communication 232
- Information Systems 74
- Social Psychology 65
Countries citing papers authored by Jialun Aaron Jiang
This map shows the geographic impact of Jialun Aaron Jiang'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 Jialun Aaron Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialun Aaron Jiang more than expected).
Fields of papers citing papers by Jialun Aaron Jiang
This network shows the impact of papers produced by Jialun Aaron Jiang. 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 Jialun Aaron Jiang. The network helps show where Jialun Aaron Jiang may publish in the future.
Co-authorship network of co-authors of Jialun Aaron Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Jialun Aaron Jiang. A scholar is included among the top collaborators of Jialun Aaron Jiang 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 Jialun Aaron Jiang. Jialun Aaron Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 61 | |
| 3 | 39 | |
| 4 | 59 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 20 | |
| 8 | 11 | |
| 9 | 42 | |
| 10 | 11 | |
| 11 | 76 | |
| 12 | 26 | |
| 13 | 3 | |
| 14 | 113 | |
| 15 | 8 | |
| 16 | 15 | |
| 17 | 3 |
About Jialun Aaron Jiang
Jialun Aaron Jiang is a scholar working on Communication, Human-Computer Interaction and Artificial Intelligence, having authored 17 papers that have together received 531 indexed citations. Recurring topics across this work include Social Media and Politics (9 papers), Hate Speech and Cyberbullying Detection (9 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Communication (232 citations), Human-Computer Interaction (52 citations) and Artificial Intelligence (297 citations). Jialun Aaron Jiang has collaborated with scholars based in United States. Frequent co-authors include Jed R. Brubaker, Casey Fiesler, Morgan Klaus Scheuerman, Benjamin Mako Hill, Svetlana Yarosh, Donghee Yvette Wohn, Sarah Gilbert, Shagun Jhaver, Joseph Seering and Eshwar Chandrasekharan. Their work appears in journals such as PLoS ONE, ACM Transactions on Computer-Human Interaction and Proceedings of the ACM on Human-Computer Interaction.
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.