Ching‐Ping Tang

1.1k citations
31 papers · 680 · h-index 16

Impact in

Papers in

Ching‐Ping Tang

29 papers receiving 629 citations

Peers

Ching‐Ping Tang
Comparison fields: 5 of 96
  • Public Administration 46
  • Modeling and Simulation 51
  • Management, Monitoring, Policy and Law 117
  • Strategy and Management 124
  • Political Science and International Relations 188
Replace Érick Lachapelle with:
Érick Lachapelle Canada
Charles F. Parker Sweden
Ching Leong Singapore
Michaela Hordijk Netherlands
Mee Kam Ng Hong Kong
Grace Carswell United Kingdom
Marie-Louise Bemelmans-Videc Netherlands
Elizabeth A. Koebele United States
Sébastien Bourdin France
Kristian Ruming Australia
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Citations per field
00.5×2.9×
Érick Lachapelle · 1×
Citations per year

Countries citing papers authored by Ching‐Ping Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Ping Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Ping Tang. 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 Ching‐Ping Tang. The network helps show where Ching‐Ping Tang may publish in the future.

Co-authors

The 12 scholars most cited alongside Ching‐Ping Tang, 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 Ching‐Ping Tang Line = papers co-authored together Ching‐Ping Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 200475
3 201457
4 200941
5 202135
6 201334
7 199434
8 200133
9 199732
10 201028
11 199927
12 200323
13 201422
14 200619
15 200016
16 201715
17 201115
18 199814
19 200413
20 201510

About Ching‐Ping Tang

Ching‐Ping Tang is a scholar working on Sociology and Political Science, Political Science and International Relations, Strategy and Management, Economics and Econometrics and Global and Planetary Change, having authored 31 papers that have together received 680 indexed citations. Recurring topics across this work include China's Socioeconomic Reforms and Governance (5 papers), Conservation, Biodiversity, and Resource Management (5 papers), Regulation and Compliance Studies (4 papers), Southeast Asian Sociopolitical Studies (3 papers), Cambodian History and Society (3 papers), Socioeconomic Development in Asia (3 papers), Disaster Management and Resilience (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Public Administration (46 citations), Modeling and Simulation (51 citations), Management, Monitoring, Policy and Law (117 citations), Strategy and Management (124 citations) and Political Science and International Relations (188 citations). Ching‐Ping Tang has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Shui‐Yan Tang, Carlos Wing‐Hung Lo, Brian An, Gerald E. Fryxell, Simon Porcher, Myungjung Kwon, William D. Leach, Jiarui Wu, Bo Wen and Yi-Hsien Lin. Their work appears in journals such as The China Quarterly, Comparative Politics, Environment and Planning A Economy and Space, Human Ecology and Public Administration Review.

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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