Jun Du

3.8k citations
109 papers · 2.7k · 2 hit papers · h-index 24

Impact in

Papers in

Jun Du

100 papers receiving 2.6k citations

Jun Du's Hit Papers

Modelling the innovation value chain 2008 · 528 citations
5280+6+13Years since publication100200300400500

Peers

Jun Du
Comparison fields: 5 of 119
  • Strategy and Management 1.1k
  • Management of Technology and Innovation 523
  • Business and International Management 118
  • Accounting 649
  • Economics and Econometrics 1.1k
Replace Roger R. Stough with:
Roger R. Stough United States
Anil Nair United States
Jean‐Michel Sahut France
Nicolai Etienne Fabian Netherlands
Ulrich Kaiser Germany
Yannis Caloghirou Greece
Gabriel R.G. Benito Norway
Aija Leiponen United States
Jun Du relative to Roger R. Stough United States Roger R. Stough's profile →
Citations per field
00.5×2×3×4×
Roger R. Stough · 1×
Citations per year

Countries citing papers authored by Jun Du

Since Specialization
Citations

This map shows the geographic impact of Jun 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 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 Du more than expected).

Fields of papers citing papers by Jun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The innovation value chain
Hit paper breakdown →
2006534
2
Modelling the innovation value chain
Hit paper breakdown →
2008528
3 2015125
4 2008101
5 201494
6 201686
7 201385
8 201083
9 201081
10 200769
11 201364
12 201557
13 201747
14 201742
15 200736
16 201436
17 201234
18 201630
19 200628
20 202128

About Jun Du

Jun Du is a scholar working on Economics and Econometrics, Accounting, General Economics, Econometrics and Finance, Strategy and Management and Artificial Intelligence, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include Corporate Finance and Governance (36 papers), Global trade and economics (23 papers), Firm Innovation and Growth (21 papers), International Business and FDI (11 papers), Machine Learning and Algorithms (10 papers), Auditing, Earnings Management, Governance (8 papers), Machine Learning and Data Classification (8 papers) and Regional Development and Policy (7 papers). The work is most often cited by research in Strategy and Management (1.1k citations), Management of Technology and Innovation (523 citations), Business and International Management (118 citations), Accounting (649 citations) and Economics and Econometrics (1.1k citations). Jun Du has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include James H. Love, Stephen Roper, Sourafel Girma, Tomasz Mickiewicz, Charles X. Ling, Yama Temouri, Zhi‐Hua Zhou, Bach Nguyen, Alexander Newman and Alessandra Guariglia. Their work appears in journals such as Regional Studies, World Economy, IEEE Transactions on Knowledge and Data Engineering, Small Business Economics and Journal of International Business Studies.

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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