Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Busting the “Princelings”: The Campaign Against Corruption in China’s Primary Land Market*
2018254 citationsJames Kai‐sing Kung et al.profile →
Fiscal incentives and policy choices of local governments: Evidence from China
2015201 citationsLi Han, James Kai‐sing KungJournal of Development Economicsprofile →
Long Live Keju! The Persistent Effects of China’s Civil Examination System
2020189 citationsJames Kai‐sing Kung, Chicheng Ma et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by James Kai‐sing Kung
Since
Specialization
Citations
This map shows the geographic impact of James Kai‐sing Kung'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 James Kai‐sing Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Kai‐sing Kung more than expected).
Fields of papers citing papers by James Kai‐sing Kung
This network shows the impact of papers produced by James Kai‐sing Kung. 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 James Kai‐sing Kung. The network helps show where James Kai‐sing Kung may publish in the future.
Co-authorship network of co-authors of James Kai‐sing Kung
This figure shows the co-authorship network connecting the top 25 collaborators of James Kai‐sing Kung.
A scholar is included among the top collaborators of James Kai‐sing Kung based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with James Kai‐sing Kung. James Kai‐sing Kung is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Ting & James Kai‐sing Kung. (2018). Busting the 'Princelings': The Campaign Against Corruption in China's Primary Land Market. SSRN Electronic Journal.6 indexed citations
Chen, Shuo & James Kai‐sing Kung. (2010). Tragedy of the Nomenklatura: Career Incentives and Political Radicalism during China's Great Leap Famine. SSRN Electronic Journal.22 indexed citations
9.
Kuo, Yu‐Lin, et al.. (2010). Grey relational analysis of an automatic identifying system for clothing texture. Fibres and Textiles in Eastern Europe.7 indexed citations
Kung, James Kai‐sing, et al.. (2001). Determination of the elastic properties at high pressure without pressure scale. AGU Fall Meeting Abstracts. 2001.1 indexed citations
16.
Kung, James Kai‐sing. (2001). Common Property Rights and Land Reallocations in Rural China: Evidence from a Village Survey. SSRN Electronic Journal.3 indexed citations
Kung, James Kai‐sing. (1993). Organizational Response to Monitoring and Sharing Problems: The Choice of Remuneration System in Chinese Collective Agriculture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 149(3). 579.1 indexed citations
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.