Han Dong

31 papers receiving 265 citations

Peers

Han Dong
Comparison fields: 5 of 71
  • Hardware and Architecture 33
  • Information Systems 109
  • Computer Networks and Communications 108
  • Communication 27
  • Statistical and Nonlinear Physics 28
Replace Changjun Hu with:
Changjun Hu China
Patrick Small United States
Marius Marcu Romania
Kenta Yamada Japan
Shigeo Urushidani Japan
H. Lu China
Nathan Fabian United States
Yepeng Yao China
Roselyne Tchoua United States
Han Dong relative to Changjun Hu China Changjun Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Han Dong

Since Specialization
Citations

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

Fields of papers citing papers by Han Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201340
3 201323
4 201418
5 201617
6 201712
7 20197
8 20136
9 20206
10 20125
11 19955
12 20035
13
Lie-type higher derivations on operator algebras
20144
14
3D modeling of cave reservoirs based on karst patterns
20163
15 20123
16 20143
17 20103
18 20033
19 20252
20
Cross-Platform OpenCL Code and Performance Portability for CPU and GPU Architectures Investigated with a Climate and Weather Physics Model
20122

About Han Dong

Han Dong is a scholar working on Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics, Hardware and Architecture and Mathematical Physics, having authored 33 papers that have together received 275 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (5 papers), Complex Network Analysis Techniques (5 papers), Advanced Data Storage Technologies (4 papers), Markov Chains and Monte Carlo Methods (2 papers), Stochastic processes and statistical mechanics (2 papers) and Phase Equilibria and Thermodynamics (2 papers). The work is most often cited by research in Hardware and Architecture (33 citations), Information Systems (109 citations), Computer Networks and Communications (108 citations), Communication (27 citations) and Statistical and Nonlinear Physics (28 citations). Han Dong has collaborated with scholars based in China, United States and India. Frequent co-authors include Shujia Zhou, Jonathan Appavoo, Orran Krieger, Thomas A. Unger, Yara Abu Awad, Milton Halem, Andreu Badal, Aldo Badano, Yelena Yesha and Yan Li. Their work appears in journals such as Journal of Statistical Physics, Medical Physics, Case Studies in Thermal Engineering, International Journal of Vehicle Design and Journal of Physics A Mathematical and Theoretical.

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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