Junsheng Zhou

1.0k citations
61 papers · 536 · h-index 14

Impact in

Papers in

Junsheng Zhou

47 papers receiving 522 citations

Peers

Junsheng Zhou
Comparison fields: 5 of 96
  • Computer Graphics and Computer-Aided Design 66
  • Computer Vision and Pattern Recognition 196
  • Geology 47
  • Media Technology 47
  • Computational Mechanics 105
Replace Seokju Lee with:
Seokju Lee South Korea
Ji Zhang China
Xiaojing Li China
Yangxi Li China
Ziyan Zhang China
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Citations per field
00.5×10×13.1×
Seokju Lee · 1×
Citations per year

Countries citing papers authored by Junsheng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Junsheng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201944
3 202339
4 202231
5 202127
6 202325
7 201624
8 202123
9 202322
10 202019
11 202117
12 202317
13
Chinese Named Entity Recognition with a Multi-Phase Model
200616
14 202213
15 202211
16 202311
17 202410
18 202410
19 201810
20
A Hybrid Approach to Chinese Word Segmentation around CRFs
200510

About Junsheng Zhou

Junsheng Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design and Information Systems, having authored 61 papers that have together received 536 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers), 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (5 papers), Advanced Text Analysis Techniques (5 papers), Advanced Numerical Analysis Techniques (4 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (66 citations), Computer Vision and Pattern Recognition (196 citations), Geology (47 citations), Media Technology (47 citations) and Computational Mechanics (105 citations). Junsheng Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu-Shen Liu, Kaihuai Qin, Yuwang Wang, Wenjun Zeng, Baorui Ma, Zhizhong Han, Weiguang Qu, Yanhui Gu, Chenxi Huang and Xinyu Dai. Their work appears in journals such as Multimedia Tools and Applications, Knowledge and Information Systems, World Wide Web, Knowledge-Based Systems and Neural Computing and Applications.

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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