Naiding Yang

74 papers receiving 810 citations

Peers

Naiding Yang
Comparison fields: 5 of 80
  • Strategy and Management 307
  • Management of Technology and Innovation 115
  • Industrial and Manufacturing Engineering 141
  • Management Science and Operations Research 158
  • Business and International Management 13
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Na Zhang China
Alex Gorod Australia
John V. Farr United States
Jamison M. Day United States
Alireza Aliahmadi Iran
Giovanna Ferraro Italy
Miguel Alfaro Chile
Xiuli Geng China
Josef Oehmen Denmark
Min-Chun Yu Taiwan
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Citations per year

Countries citing papers authored by Naiding Yang

Since Specialization
Citations

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

Fields of papers citing papers by Naiding Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 200944
3 201042
4 202041
5 202138
6 200938
7 202034
8 201933
9 202130
10 201329
11 202026
12 201223
13 201922
14 201822
15 201421
16 202218
17 202118
18 201818
19 201917
20 202017

About Naiding Yang

Naiding Yang is a scholar working on Strategy and Management, Management Science and Operations Research, Statistical and Nonlinear Physics, Management of Technology and Innovation and Sociology and Political Science, having authored 81 papers that have together received 828 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (26 papers), Complex Network Analysis Techniques (15 papers), Business Strategy and Innovation (13 papers), Innovation Diffusion and Forecasting (8 papers), Opinion Dynamics and Social Influence (7 papers), Scheduling and Optimization Algorithms (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers) and Knowledge Management and Sharing (5 papers). The work is most often cited by research in Strategy and Management (307 citations), Management of Technology and Innovation (115 citations), Industrial and Manufacturing Engineering (141 citations), Management Science and Operations Research (158 citations) and Business and International Management (13 citations). Naiding Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Yanlu Zhang, Jingbei Wang, Min Guo, Chengbin Chu, Pengyu Yan, Ada Che, Ruimeng Li, Yue Song, Upmanu Lall and Hui Liu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Business and Industrial Marketing, Management Decision, International Journal of Production Research and Technology Analysis and Strategic Management.

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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