Ling Yan

3.0k citations
53 papers · 2.2k · h-index 15

Impact in

Papers in

Ling Yan

45 papers receiving 2.1k citations

Peers

Ling Yan
Comparison fields: 5 of 123
  • Organizational Behavior and Human Resource Management 1.3k
  • Management of Technology and Innovation 708
  • Accounting 878
  • Gender Studies 326
  • Strategy and Management 329
Replace Damon J. Phillips with:
Damon J. Phillips United States
Andrew D. Henderson United States
John G. Michel United States
Bruce Walters United States
Greta Hsu United States
Douglas W. Lyon United States
Yan Ling United States
Christine Shropshire United States
Abdul M. A. Rasheed United States
Stefan Wally United States
Ling Yan relative to Damon J. Phillips United States Damon J. Phillips's profile →
Citations per field
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Damon J. Phillips · 1×
Citations per year

Countries citing papers authored by Ling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005496
2 2009226
3 2009208
4 2013166
5 2003160
6 2008157
7 2007157
8 2007127
9 200598
10 202089
11 200180
12 201548
13 201944
14 201532
15 201815
16 201310
17 202010
18 20248
19 20087
20 20236

About Ling Yan

Ling Yan is a scholar working on Management Science and Operations Research, Strategy and Management, Sociology and Political Science, Organizational Behavior and Human Resource Management and Accounting, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Construction Project Management and Performance (15 papers), Corporate Finance and Governance (7 papers), Family Business Performance and Succession (6 papers), Evaluation and Optimization Models (5 papers), Public Procurement and Policy (4 papers), Public-Private Partnership Projects (4 papers), Space exploration and regulation (4 papers) and Innovation and Knowledge Management (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (1.3k citations), Management of Technology and Innovation (708 citations), Accounting (878 citations), Gender Studies (326 citations) and Strategy and Management (329 citations). Ling Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael Lubatkin, William S. Schulze, Richard N. Dino, Franz W. Kellermanns, Anne Marie Francesco, Gary N. Powell, Noor Kalsheker, Kevin Morgan, Lihan Zhang and Rodolphe Durand. Their work appears in journals such as Frontiers in Psychology, Journal of Management Studies, Journal of Construction Engineering and Management, Journal of Asian Architecture and Building Engineering and Journal of Management in Engineering.

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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