Bing Jing

1.6k citations
30 papers · 1.2k · h-index 16

Impact in

  • Marketing top 1%
    • Consumer Market Behavior and Pricing
    • Consumer Retail Behavior Studies
    • Digital Platforms and Economics
    • Sustainable Supply Chain Management

Papers in

Bing Jing

30 papers receiving 1.1k citations

Peers

Bing Jing
Comparison fields: 5 of 65
  • Marketing 752
  • Strategy and Management 641
  • Management Information Systems 381
  • Management Science and Operations Research 264
  • Management of Technology and Innovation 103
Replace D. J. Wu with:
D. J. Wu United States
Nanda Kumar United States
Javier Cenamor Sweden
Andreas Mild Austria
Vidyanand Choudhary United States
Jörg Weking Germany
Arati Srinivasan United States
Rajiv M. Dewan United States
Paolo Roma Italy
Oded Koenigsberg United Kingdom
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003189
2 2018175
3 2013119
4 2000106
5 200696
6 201692
7 201176
8 200836
9 201535
10 201132
11 201132
12 200628
13 200027
14 201526
15 200819
16 200118
17 201214
18 201112
19 199911
20 20058

About Bing Jing

Bing Jing is a scholar working on Strategy and Management, Marketing, Economics and Econometrics, Management Science and Operations Research and Accounting, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (22 papers), Digital Platforms and Economics (22 papers), Merger and Competition Analysis (16 papers), Working Capital and Financial Performance (4 papers), Innovation Diffusion and Forecasting (3 papers), Consumer Retail Behavior Studies (3 papers), Supply Chain and Inventory Management (3 papers) and Auction Theory and Applications (2 papers). The work is most often cited by research in Marketing (752 citations), Strategy and Management (641 citations), Management Information Systems (381 citations), Management Science and Operations Research (264 citations) and Management of Technology and Innovation (103 citations). Bing Jing has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Abraham Seidmann, Rajiv M. Dewan, Z. John Zhang, Gangshu Cai, Xiangfeng Chen, Nicholas H. Lurie, Raghuram Iyengar, Neeraj Arora, Scott Neslin and Yogesh V. Joshi. Their work appears in journals such as Management Science, Marketing Science, Quantitative Marketing and Economics, Journal of Economics & Management Strategy and Frontiers in Plant Science.

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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