Bing Jing

1.6k citations
28 papers · 1.1k · h-index 15

Impact in

Papers in

Bing Jing

27 papers receiving 1.0k citations

Peers

Bing Jing
Comparison fields: 5 of 64
  • Marketing 686
  • Management Information Systems 369
  • Strategy and Management 588
  • Management Science and Operations Research 233
  • Management of Technology and Innovation 97
Replace D. J. Wu with:
D. J. Wu United States
Paolo Roma Italy
Arati Srinivasan United States
Vidyanand Choudhary United States
Charles L. Munson United States
Joakim Björkdahl Sweden
Hanna Hałaburda United States
William Y.C. Wang New Zealand
Sven M. Laudien Germany
David J. Kiron United States
Bing Jing relative to D. J. Wu United States D. J. Wu's profile →
Citations per field
00.5×1.6×
D. J. Wu · 1×
Citations per year

Countries citing papers authored by Bing Jing

Since Specialization
Citations

This map shows the geographic impact of Bing Jing'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 Bing Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Jing more than expected).

Fields of papers citing papers by Bing Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing Jing. 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 Bing Jing. The network helps show where Bing Jing may publish in the future.

Co-authors

The 25 scholars most cited alongside Bing Jing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bing Jing Line = papers co-authored together Bing Jing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018180
2 2003172
3 2013122
4 2000103
5 201691
6 200682
7 201165
8 201535
9 201130
10 201529
11 201128
12 200828
13 200626
14 200022
15 200820
16 201211
17 199911
18 201110
19 20058
20 20236

About Bing Jing

Bing Jing is a scholar working on Marketing, Strategy and Management, Economics and Econometrics, Management Science and Operations Research and Accounting, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Platforms and Economics (20 papers), Consumer Market Behavior and Pricing (20 papers), Merger and Competition Analysis (14 papers), Working Capital and Financial Performance (3 papers), Innovation Diffusion and Forecasting (3 papers), Consumer Retail Behavior Studies (3 papers), Auction Theory and Applications (2 papers) and Sesame and Sesamin Research (2 papers). The work is most often cited by research in Marketing (686 citations), Management Information Systems (369 citations), Strategy and Management (588 citations), Management Science and Operations Research (233 citations) and Management of Technology and Innovation (97 citations). Bing Jing has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Abraham Avi Seidmann, Rajiv M. Dewan, Z. John Zhang, Gangshu George Cai, Xiangfeng Chen, Scott A. Neslin, Jie Zhang, Xavier Drèze, Yogesh V. Joshi and Niladri B. Syam. Their work appears in journals such as Management Science, Marketing Science, Journal of the Association for Information Systems, Quantitative Marketing and Economics and Journal of Economics & Management Strategy.

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.

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