Dongling Huang
- Marketing top 5%
- Artificial Intelligence
- Sociology and Political Science
- Economics and Econometrics
- Information Systems and Management top 10%
- Co-authors
- Dmitri G. MarkovitchLan LuoChristian RojasPengfei YeFrank M. BassAndrei StrijnevQinghua LiZhou Huang
- Topics
- Consumer Market Behavior and Pricing (9 papers)Economic and Environmental Valuation (4 papers)Digital Marketing and Social Media (4 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Dongling Huang
29 papers receiving 347 citations
Peers
Comparison fields: 5 of 112
- Marketing 112
- Artificial Intelligence 77
- Sociology and Political Science 70
- Economics and Econometrics 65
- Information Systems and Management 33
Countries citing papers authored by Dongling Huang
This map shows the geographic impact of Dongling Huang'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 Dongling Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongling Huang more than expected).
Fields of papers citing papers by Dongling Huang
This network shows the impact of papers produced by Dongling Huang. 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 Dongling Huang. The network helps show where Dongling Huang may publish in the future.
Co-authorship network of co-authors of Dongling Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Dongling Huang. A scholar is included among the top collaborators of Dongling Huang 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 Dongling Huang. Dongling Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 33 | |
| 3 | 4 | |
| 4 | 51 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 25 | |
| 10 | 4 | |
| 11 | Association of rs1333040 SNPs with susceptibility, risk factors, and clinical characteristics of acute myocardial infarction patients in a Chinese Han population. | 3 |
| 12 | 61 | |
| 13 | 6 | |
| 14 | Effects of Managerial Response to E-WOM on Consumer Attitude | 2 |
| 15 | 49 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 3 |
About Dongling Huang
Dongling Huang is a scholar working on Marketing, Virology and Visual Arts and Performing Arts, having authored 31 papers that have together received 356 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (9 papers), Economic and Environmental Valuation (4 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Marketing (112 citations), Information Systems and Management (33 citations) and Aging (8 citations). Dongling Huang has collaborated with scholars based in China, United States and India. Frequent co-authors include Dmitri G. Markovitch, Lan Luo, Christian Rojas, Pengfei Ye, Frank M. Bass, Andrei Strijnev, Qinghua Li, Zhou Huang, Xiang Fu and Wei Chen. Their work appears in journals such as Journal of Business Research, Marketing Science and Journal of Cellular Biochemistry.
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.