Jing Gong
- Marketing top 5%
- Sociology and Political Science
- Management Information Systems top 10%
- Automotive Engineering top 10%
- Strategy and Management
- Co-authors
- Yiping SongMichael D. SmithRahul TelangBeibei LiPaul A. PavlouYi LiangJayanthi KrishnanBrad N. Greenwood
- Topics
- Consumer Market Behavior and Pricing (7 papers)Sharing Economy and Platforms (5 papers)Digital Marketing and Social Media (5 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Jing Gong
27 papers receiving 306 citations
Peers
Comparison fields: 5 of 67
- Marketing 161
- Sociology and Political Science 97
- Management Information Systems 69
- Automotive Engineering 55
- Strategy and Management 50
Countries citing papers authored by Jing Gong
This map shows the geographic impact of Jing Gong'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 Jing Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Gong more than expected).
Fields of papers citing papers by Jing Gong
This network shows the impact of papers produced by Jing Gong. 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 Jing Gong. The network helps show where Jing Gong may publish in the future.
Co-authorship network of co-authors of Jing Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Gong. A scholar is included among the top collaborators of Jing Gong 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 Jing Gong. Jing Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | Call for Bids to Improve Matching Efficiency: Evidence from Online Labor Markets | 5 |
| 13 | Onsite Retargeting: A Randomized Field Experiment | 0 |
| 14 | Investing or Gambling? Empirical Evidence on the Role of the Lottery in Reward-based Crowdfunding Platforms | 2 |
| 15 | 56 | |
| 16 | Monetary Incentives, Online Reviews, and Product Sales: An Empirical Investigation | 6 |
| 17 | [Analysis of reliability and validity of the Chinese Version of Dizziness Handicap Inventory (DHI)]. | 15 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Jing Gong
Jing Gong is a scholar working on Marketing, Management Information Systems and General Decision Sciences, having authored 31 papers that have together received 318 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (7 papers), Sharing Economy and Platforms (5 papers) and Digital Marketing and Social Media (5 papers). The work is most often cited by research in Marketing (161 citations), Management Information Systems (69 citations) and Transportation (31 citations). Jing Gong has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Yiping Song, Michael D. Smith, Rahul Telang, Beibei Li, Paul A. Pavlou, Yi Liang, Jayanthi Krishnan, Brad N. Greenwood, Meng Zhang and Guoxi Li. Their work appears in journals such as MIS Quarterly, The Accounting Review and Information Systems Research.
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.