Jhing-Fa Wang

3.4k citations
251 papers · 2.6k · h-index 24

Impact in

Papers in

Jhing-Fa Wang

228 papers receiving 2.4k citations

Peers

Jhing-Fa Wang
Comparison fields: 5 of 109
  • Signal Processing 644
  • Computer Vision and Pattern Recognition 669
  • Hardware and Architecture 151
  • Artificial Intelligence 628
  • Computer Networks and Communications 115
Replace Heng-Tze Cheng with:
Heng-Tze Cheng United States
Yifan Gong United States
Kaisheng Yao United States
Gernot A. Fink Germany
Douglas Eck Canada
Parham Aarabi Canada
S. Levinson United States
Marco Tagliasacchi Italy
Ming–Ting Sun United States
Vasileios Mezaris Greece
Jhing-Fa Wang relative to Heng-Tze Cheng United States Heng-Tze Cheng's profile →
Citations per field
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Heng-Tze Cheng · 1×
Citations per year

Countries citing papers authored by Jhing-Fa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jhing-Fa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jhing-Fa Wang. 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 Jhing-Fa Wang. The network helps show where Jhing-Fa Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 251 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the 13th Pacific Asia Conference on Language, Information and Computation
1999176
2 2000111
3 2009107
4 2008101
5 200794
6 198590
7 200690
8 201369
9 201267
10 200664
11 202061
12 200456
13 200254
14 200853
15 199152
16 200351
17 201151
18 198845
19 201533
20 200732

About Jhing-Fa Wang

Jhing-Fa Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture and Health Information Management, having authored 251 papers that have together received 2.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (36 papers), Handwritten Text Recognition Techniques (20 papers), Video Coding and Compression Technologies (20 papers), Face recognition and analysis (12 papers), Speech and dialogue systems (12 papers), Emotion and Mood Recognition (11 papers) and Digital Filter Design and Implementation (10 papers). The work is most often cited by research in Signal Processing (644 citations), Computer Vision and Pattern Recognition (669 citations), Hardware and Architecture (151 citations), Artificial Intelligence (628 citations) and Computer Networks and Communications (115 citations). Jhing-Fa Wang has collaborated with scholars based in Taiwan, China and South Korea. Frequent co-authors include Jia‐Ching Wang, Chung‐Hsien Wu, Yikai Chen, Jar‐Ferr Yang, Bo‐Wei Chen, An‐Chao Tsai, Frank T. Boesch, Jau‐Yien Lee, Shi-Huang Chen and Anand Paul. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Consumer Electronics, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition and Multimedia Tools 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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