Jenq–Neng Hwang

12.7k citations
395 papers · 8.5k indexed · 4 hit papers · h-index 46
Topics
Video Surveillance and Tracking Methods (85 papers)Advanced Vision and Imaging (62 papers)Human Pose and Action Recognition (44 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Jenq–Neng Hwang

368 papers receiving 8.1k citations

Hit Papers

A Review on Video-Based Human Activity Recognition20132026201720212013202120212023100200300

Peers

Jenq–Neng Hwang
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 5.1k
  • Artificial Intelligence 2.0k
  • Electrical and Electronic Engineering 1.0k
  • Signal Processing 960
  • Aerospace Engineering 785
Replace Sergio Guadarrama with:
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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 of co-authors of Jenq–Neng Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Jenq–Neng Hwang. A scholar is included among the top collaborators of Jenq–Neng Hwang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jenq–Neng Hwang. Jenq–Neng Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 3
5 1
6 4
7 8
8 16
9 39
10 69
11 95
12 1
13 44
14 12
15 40
16
Multi-Camera Tracking of Vehicles based on Deep Features Re-ID and Trajectory-Based Camera Link Models
51
17 108
18
Effective car video retrieval using feature matching in a mobile video cloud
0
19 39
20
Design and Implementation of Desktop Video Conference System Based on Client-Server and P2P.
2

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) and Human Pose and Action Recognition (44 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 Proceedings of the IEEE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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