Yi‐Chia Wang
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Communication top 2%
- Developmental and Educational Psychology top 5%
- Social Psychology top 5%
- Co-authors
- Robert E. KrautJohn M. LevineChi‐Hsiang HuangCarolyn Penstein RoséMoira BurkeArmin WeinbergerKarsten StegmannFrank Fischer
- Topics
- Topic Modeling (8 papers)Social Media and Politics (6 papers)Cardiac Structural Anomalies and Repair (5 papers)
- Journals
- Scientific ReportsPainSensors
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Yi‐Chia Wang
67 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 386
- Sociology and Political Science 327
- Communication 278
- Developmental and Educational Psychology 236
- Social Psychology 196
Countries citing papers authored by Yi‐Chia Wang
This map shows the geographic impact of Yi‐Chia Wang'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 Yi‐Chia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Chia Wang more than expected).
Fields of papers citing papers by Yi‐Chia Wang
This network shows the impact of papers produced by Yi‐Chia Wang. 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 Yi‐Chia Wang. The network helps show where Yi‐Chia Wang may publish in the future.
Co-authorship network of co-authors of Yi‐Chia Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Chia Wang. A scholar is included among the top collaborators of Yi‐Chia Wang 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 Yi‐Chia Wang. Yi‐Chia Wang 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 35 | |
| 12 | 1 | |
| 13 | 140 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 23 | |
| 17 | 1 | |
| 18 | Making Conversational Structure Explicit: Identification of Initiation-response Pairs within Online Discussions | 20 |
| 19 | Finding transactive contributions in whole group classroom discussions | 12 |
| 20 | Using the Web as Corpus for Un-supervised Learning in Question Answering | 1 |
About Yi‐Chia Wang
Yi‐Chia Wang is a scholar working on Communication, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Social Media and Politics (6 papers) and Cardiac Structural Anomalies and Repair (5 papers). The work is most often cited by research in Communication (278 citations), Computer Science Applications (172 citations) and Applied Psychology (105 citations). Yi‐Chia Wang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Robert E. Kraut, John M. Levine, Chi‐Hsiang Huang, Carolyn Penstein Rosé, Moira Burke, Armin Weinberger, Karsten Stegmann, Frank Fischer, Yue Cui and Jaime Arguello. Their work appears in journals such as Scientific Reports, Pain and Sensors.
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.