Shih‐Hao Wang

2.5k citations
67 papers · 1.5k · h-index 21

Impact in

Papers in

Shih‐Hao Wang

62 papers receiving 1.4k citations

Peers

Shih‐Hao Wang
Comparison fields: 5 of 159
  • Building and Construction 266
  • Computer Vision and Pattern Recognition 328
  • Civil and Structural Engineering 271
  • Signal Processing 106
  • Sensory Systems 44
Replace Hiroshi Takahashi with:
Hiroshi Takahashi Japan
Ying Lee United States
Lufeng Hu China
Jiawei Wang China
Namhun Lee South Korea
Ignacio Díaz Spain
Fengping An China
Debnath Bhattacharyya India
Menghan Hu China
Yonghong Gao China
Shih‐Hao Wang relative to Hiroshi Takahashi Japan Hiroshi Takahashi's profile →
Citations per field
00.5×10.9×
Hiroshi Takahashi · 1×
Citations per year

Countries citing papers authored by Shih‐Hao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Hao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Hao 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 Shih‐Hao Wang. The network helps show where Shih‐Hao Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002272
2 2004241
3 2011125
4 201361
5 202255
6 201645
7 201144
8 201143
9 201240
10 200433
11 201133
12 201230
13 200529
14 201128
15 200927
16 201327
17 201225
18 202324
19 200924
20 201621

About Shih‐Hao Wang

Shih‐Hao Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, Genetics and Artificial Intelligence, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (9 papers), Video Coding and Compression Technologies (8 papers), Image and Video Quality Assessment (5 papers), Astrophysics and Cosmic Phenomena (5 papers), Natural product bioactivities and synthesis (4 papers), Phytochemicals and Antioxidant Activities (4 papers), High Altitude and Hypoxia (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Building and Construction (266 citations), Computer Vision and Pattern Recognition (328 citations), Civil and Structural Engineering (271 citations), Signal Processing (106 citations) and Sensory Systems (44 citations). Shih‐Hao Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Ping Lin, Mei‐Hwan Wu, Keh‐Chyuan Tsai, Youfa Weng, Chengnian Huang, Y.-K. Yeh, Hsuan‐Teh Hu, Wen-Cheng Li, I‐Chuan Chen and Kuang‐Yu Hsiao. Their work appears in journals such as Journal of Agricultural and Food Chemistry, The Laryngoscope, Expert Systems with Applications, Canadian Medical Association Journal and Herpetological Monographs.

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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