Jun Wei Han

418 citations
75 papers · 298 · h-index 8

Impact in

Papers in

Jun Wei Han

63 papers receiving 281 citations

Peers

Jun Wei Han
Comparison fields: 5 of 81
  • Paleontology 36
  • Control and Systems Engineering 67
  • Signal Processing 29
  • Nuclear Energy and Engineering 1
  • Nature and Landscape Conservation 25
Replace Tao Lv with:
Tao Lv China
Antonio Manuel Lázaro Spain
D. Duarte United States
Dewei Wang United States
Run Li China
Olivier Laligant France
Qingying Zhao China
Liangliang Wang China
Ming Jiang China
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Citations per field
00.5×2×4×6×7.4×
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Citations per year

Countries citing papers authored by Jun Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A NEW THERIZINOSAUROID (DINOSAURIA,THEROPODA) FROM THE UPPER CRETACEOUS IREN DABASU FORMATION OF NEI MONGOL
200234
2 202323
3 200722
4 200921
5 200218
6 202217
7 202510
8 20229
9 20117
10 20147
11 20237
12 20226
13 20226
14 20116
15 20066
16 20176
17 20215
18 20135
19 20235
20 20075

About Jun Wei Han

Jun Wei Han is a scholar working on Control and Systems Engineering, Aerospace Engineering, Signal Processing, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 75 papers that have together received 298 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (8 papers), Simulation and Modeling Applications (7 papers), Radar Systems and Signal Processing (6 papers), Robotic Mechanisms and Dynamics (6 papers), Blind Source Separation Techniques (5 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Robotic Path Planning Algorithms (4 papers) and Real-time simulation and control systems (4 papers). The work is most often cited by research in Paleontology (36 citations), Control and Systems Engineering (67 citations), Signal Processing (29 citations), Nuclear Energy and Engineering (1 citation) and Nature and Landscape Conservation (25 citations). Jun Wei Han has collaborated with scholars based in China, Mongolia and United States. Frequent co-authors include Lei Guo, Paul C. Sereno, Lin Tan, Linlin Yi, Hongzhou Jiang, Xing Xu, Linbo Qin, Qiang Zhang, Bo Ya Zhao and Zhao Xijin. Their work appears in journals such as Marine and Petroleum Geology, Petroleum Exploration and Development, Catalysis Letters, Energies and Energy.

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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