Dong Han

925 citations
60 papers · 743 · h-index 16

Impact in

Papers in

Dong Han

56 papers receiving 730 citations

Peers

Dong Han
Comparison fields: 5 of 92
  • Statistics, Probability and Uncertainty 399
  • Statistics and Probability 259
  • Medical Laboratory Technology 40
  • Algebra and Number Theory 33
  • Fluid Flow and Transfer Processes 29
Replace Emmanuel Yashchin with:
Emmanuel Yashchin United States
Guodong Wang China
R. Calabria Italy
Michael J. LuValle United States
Diptiranjan Behera India
Ying‐Chao Hung Taiwan
Marcial Gonzalez United States
Nikolai Kolev Bulgaria
Abdul Haq Pakistan
Dong Han relative to Emmanuel Yashchin United States Emmanuel Yashchin's profile →
Citations per field
00.5×10×20×33×
Emmanuel Yashchin · 1×
Citations per year

Countries citing papers authored by Dong Han

Since Specialization
Citations

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

Fields of papers citing papers by Dong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006162
2 201550
3 200443
4 201936
5 202235
6 201931
7
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200730
8 201029
9 201927
10 201723
11 201821
12 201821
13 201020
14 200720
15 202018
16 202017
17 200713
18 201910
19 20099
20 20139

About Dong Han

Dong Han is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Control and Systems Engineering, Geometry and Topology and Algebra and Number Theory, having authored 60 papers that have together received 743 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (26 papers), Scientific Measurement and Uncertainty Evaluation (14 papers), Advanced Statistical Methods and Models (13 papers), Fault Detection and Control Systems (8 papers), Algebraic structures and combinatorial models (6 papers), Advanced Topics in Algebra (4 papers), Complex Network Analysis Techniques (4 papers) and Stochastic processes and statistical mechanics (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (399 citations), Statistics and Probability (259 citations), Medical Laboratory Technology (40 citations), Algebra and Number Theory (33 citations) and Fluid Flow and Transfer Processes (29 citations). Dong Han has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Fugee Tsung, Feng Wei, Muhammad Ali Raza, Jay P. Gore, Junmeng Cai, Siyu Chen, Kaibo Wang, Robert P. Lucht, Aman Satija and Chenxi Chen. Their work appears in journals such as Statistica Sinica, Journal of Statistical Computation and Simulation, Forum Mathematicum, Metals and Quality and Reliability Engineering International.

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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