Jenq–Neng Hwang

12.7k citations
395 papers · 8.5k indexed · 4 hit papers · h-index 46

Jenq–Neng Hwang

368 papers receiving 8.1k citations

Hit Papers

WaveNet: Wavelet N...962013202620172021100200300

Peers

Jenq–Neng Hwang
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 5.1k
  • Signal Processing 960
  • Media Technology 665
  • Artificial Intelligence 2.0k
  • Human-Computer Interaction 267
Replace Sergio Guadarrama with:
Sergio Guadarrama United States
Shengyong Chen China
Fatih Porikli Australia
Gao Huang China
Chang Xu China
Stephen J. Maybank United Kingdom
Huadóng Ma China
Sergey Karayev United States
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Jenq–Neng Hwang relative to Sergio Guadarrama United States Sergio Guadarrama's profile →
Citations per field
00.5×3.5×
Sergio Guadarrama · 1×
Citations per year

Countries citing papers authored by Jenq–Neng Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Jenq–Neng Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenq–Neng Hwang. 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 Jenq–Neng Hwang. The network helps show where Jenq–Neng Hwang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20242
4 20243
5 20241
6 20234
7 20238
8 202216
9 202139
10 202169
11 202195
12 20211
13 202144
14 202012
15 201940
16
Multi-Camera Tracking of Vehicles based on Deep Features Re-ID and Trajectory-Based Camera Link Models
201951
17 2018108
18
Effective car video retrieval using feature matching in a mobile video cloud
20120
19 200939
20
Design and Implementation of Desktop Video Conference System Based on Client-Server and P2P.
20062

About Jenq–Neng Hwang

Jenq–Neng Hwang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 395 papers that have together received 8.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (85 papers), Advanced Vision and Imaging (62 papers), Human Pose and Action Recognition (44 papers), Video Coding and Compression Technologies (43 papers), Image and Video Quality Assessment (36 papers), Advanced Wireless Network Optimization (35 papers), Advanced Image and Video Retrieval Techniques (33 papers) and Advanced Neural Network Applications (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.1k citations), Signal Processing (960 citations) and Media Technology (665 citations). Jenq–Neng Hwang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Changick Kim, Wujie Zhou, Jingsheng Lei, Lu Yu, Gaoang Wang, Yizhou Wang, Shyh-Rong Lay, Kresimir Williams, Zheng Tang and Meng-Che Chuang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Access and IEEE Transactions on Geoscience and Remote Sensing.

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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