Anan Tang

427 citations
32 papers · 345 · h-index 11

Impact in

Papers in

Anan Tang

31 papers receiving 337 citations

Peers

Anan Tang
Comparison fields: 5 of 32
  • Statistics, Probability and Uncertainty 328
  • Statistics and Probability 172
  • Medical Laboratory Technology 31
  • Management Science and Operations Research 48
  • Control and Systems Engineering 88
Replace Vasileios Alevizakos with:
Vasileios Alevizakos Greece
D. T. Shirke India
Yanjing Ou Singapore
Ridwan A. Sanusi Hong Kong
Jean‐Claude Malela‐Majika South Africa
Zameer Abbas Pakistan
Mu’azu Ramat Abujiya Saudi Arabia
Chau‐Chen Torng Taiwan
César A. Acosta-Mejía Mexico
Xiaolong Pu China
Anan Tang relative to Vasileios Alevizakos Greece Vasileios Alevizakos's profile →
Citations per field
00.5×4.6×
Vasileios Alevizakos · 1×
Citations per year

Countries citing papers authored by Anan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Anan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Anan 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 Anan Tang Line = papers co-authored together Anan Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201943
3 201837
4 202024
5 201722
6 201822
7 202017
8 201816
9 202214
10 201912
11 202310
12 20199
13 20229
14 20197
15 20236
16 20206
17 20235
18 20225
19 20225
20 20224

About Anan Tang

Anan Tang is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Control and Systems Engineering, Management Science and Operations Research and Medical Laboratory Technology, having authored 32 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (32 papers), Scientific Measurement and Uncertainty Evaluation (24 papers), Advanced Statistical Methods and Models (19 papers), Fault Detection and Control Systems (5 papers), Quality and Safety in Healthcare (3 papers), Optimal Experimental Design Methods (3 papers), Advanced Control Systems Optimization (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (328 citations), Statistics and Probability (172 citations), Medical Laboratory Technology (31 citations), Management Science and Operations Research (48 citations) and Control and Systems Engineering (88 citations). Anan Tang has collaborated with scholars based in China, France and India. Frequent co-authors include Xuelong Hu, Philippe Castagliola, Jinsheng Sun, Xiaojian Zhou, Amitava Mukherjee, Weidong Huang, Suying Zhang and Teng Huang. Their work appears in journals such as Quality and Reliability Engineering International, Computers & Industrial Engineering, Journal of Statistical Computation and Simulation, Quality Technology & Quantitative Management and European J of Industrial 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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