Na Tang

420 citations
26 papers · 252 indexed · h-index 10
Topics
China's Socioeconomic Reforms and Governance (7 papers)Local Government Finance and Decentralization (4 papers)Public Policy and Administration Research (4 papers)

In The Last Decade

Na Tang

22 papers receiving 240 citations

Peers

Na Tang
Comparison fields: 5 of 79
  • Signal Processing 66
  • Computer Vision and Pattern Recognition 63
  • Political Science and International Relations 52
  • Sociology and Political Science 41
  • Artificial Intelligence 31
Replace Michael Haus with:
Michael Haus Germany
Yang Zhong United States
William J. McIver United States
Christopher Frantz Norway
Soohan Kim South Korea
Alana Maurushat Australia
Ralph F. Fuchs United States
Johan Torstensson Sweden
Tian Lan United Kingdom
Frederick Liu United States
Na Tang relative to Michael Haus Germany Michael Haus's profile →
Citations per field
00.5×3.3×
Michael Haus · 1×
Citations per year

Countries citing papers authored by Na Tang

Since Specialization
Citations

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

Fields of papers citing papers by Na Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Na Tang. A scholar is included among the top collaborators of Na Tang 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 Na Tang. Na Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4 12
5 2
6 12
7 7
8 24
9 0
10 23
11 63
12 16
13 11
14 12
15 11
16
Co-pyrolysis of biomass and waste plastic for biofuel in fixed-bed reactor
3
17 1
18
Web-knowledge-based learning for ill-posed inverse problems
0
19 3
20 2

About Na Tang

Na Tang is a scholar working on Public Administration, Political Science and International Relations and Development, having authored 26 papers that have together received 252 indexed citations. Recurring topics across this work include China's Socioeconomic Reforms and Governance (7 papers), Local Government Finance and Decentralization (4 papers) and Public Policy and Administration Research (4 papers). The work is most often cited by research in Public Administration (25 citations), Signal Processing (66 citations) and Computer Vision and Pattern Recognition (63 citations). Na Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include V. Rao Vemuri, Hongmei Liu, Jun Wang, Cheng Li, Yu Cao, Yue Li, Zi Ding, Zhiwei Ni, Liping Ni and Xiao-Ping Ye. Their work appears in journals such as Public Administration, Disability & Society and International Journal of Systems Science.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026