Junwei Zhou

1.8k citations
97 papers · 1.4k · h-index 20

Impact in

Papers in

Junwei Zhou

85 papers receiving 1.4k citations

Peers

Junwei Zhou
Comparison fields: 5 of 67
  • Drug Discovery 1
  • Artificial Intelligence 364
  • Signal Processing 70
  • Computer Vision and Pattern Recognition 176
  • Computer Networks and Communications 109
Replace Luis G. Rueda with:
Luis G. Rueda Canada
Jun Sakuma Japan
Ye Chen China
Baoli Li China
Harith Al-Sahaf New Zealand
Saeed Jalili Iran
Alexandros Kalousis Switzerland
Shi Han China
Daniel S. Hirschberg United States
Junwei Zhou relative to Luis G. Rueda Canada Luis G. Rueda's profile →
Citations per field
00.5×2×3×4×5.0×
Luis G. Rueda · 1×
Citations per year

Countries citing papers authored by Junwei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016225
2
Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification
2016133
3 201281
4 201978
5 201051
6 201444
7 202344
8 201141
9 202238
10 202036
11 202331
12 201930
13 201828
14 202428
15 202327
16 201825
17 201524
18 201123
19 201723
20 201920

About Junwei Zhou

Junwei Zhou is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Building and Construction, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Biometric Identification and Security (6 papers), Chaos-based Image/Signal Encryption (6 papers), Video Coding and Compression Technologies (5 papers), Software System Performance and Reliability (4 papers), Face recognition and analysis (4 papers), Traffic Prediction and Management Techniques (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Artificial Intelligence (364 citations), Signal Processing (70 citations), Computer Vision and Pattern Recognition (176 citations) and Computer Networks and Communications (109 citations). Junwei Zhou has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianyong Chen, Shengwu Xiong, Abdelghani Dahou, Weixin Xie, Shulan Wang, Jianping Yu, Joseph K. Liu, Guodong Ye, Kwok‐Wo Wong and Pengfei Duan. Their work appears in journals such as IEEE Access, Journal of Information Security and Applications, IEEE Transactions on Magnetics, IEEE Transactions on Circuits and Systems for Video Technology and Applied Soft Computing.

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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