Jun Ping Du

83 papers receiving 2.4k citations

Jun Ping Du's Hit Papers

Modelling the innovation value chain 2008 · 502 citations
5020+6+13Years since publication100200300400500

Peers

Jun Ping Du
Comparison fields: 5 of 119
  • Strategy and Management 1.1k
  • Management of Technology and Innovation 498
  • Accounting 599
  • Business and International Management 108
  • Economics and Econometrics 999
Replace Haibin Yang with:
Haibin Yang China
Roger R. Stough United States
Anil Ramachandran Nair United States
Nicolai Etienne Fabian Netherlands
Ulrich Kaiser Germany
Ove Granstrand Sweden
Steffen Kinkel Germany
Gabriel R.G. Benito Norway
Jun Ping Du relative to Haibin Yang China Haibin Yang's profile →
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Countries citing papers authored by Jun Ping Du

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ping Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ping Du. 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 Jun Ping Du. The network helps show where Jun Ping Du may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Ping Du, 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 Jun Ping Du Line = papers co-authored together Jun Ping Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The innovation value chain
Hit paper breakdown →
2006517
2
Modelling the innovation value chain
Hit paper breakdown →
2008502
3 2015128
4 200896
5 201487
6 201685
7 201082
8 201382
9 201078
10 201360
11 200760
12 201557
13 201747
14 201742
15 201435
16 201234
17 200734
18 201630
19 202129
20 202028

About Jun Ping Du

Jun Ping Du is a scholar working on Accounting, General Economics, Econometrics and Finance, Economics and Econometrics, Finance and Strategy and Management, having authored 95 papers that have together received 2.6k indexed citations. Recurring topics across this work include Corporate Finance and Governance (27 papers), Firm Innovation and Growth (16 papers), Global trade and economics (16 papers), Machine Learning and Algorithms (10 papers), Machine Learning and Data Classification (8 papers), International Business and FDI (8 papers), Regional Development and Policy (6 papers) and Auditing, Earnings Management, Governance (6 papers). The work is most often cited by research in Strategy and Management (1.1k citations), Management of Technology and Innovation (498 citations), Accounting (599 citations), Business and International Management (108 citations) and Economics and Econometrics (999 citations). Jun Ping Du has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include James H. Love, Stephen Roper, Sourafel Girma, Tomasz Marek Mickiewicz, Charles X. Ling, Yama Temouri, Zhi‐Hua Zhou, Bach Nguyen, Alexander Newman and Alessandra Guariglia. Their work appears in journals such as World Economy, Regional Studies, Small Business Economics, Journal of International Business Studies and International Journal of the Economics of Business.

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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