Walter Chang

1.8k citations
45 papers · 1.1k · h-index 20

Impact in

Papers in

Walter Chang

45 papers receiving 1.0k citations

Peers

Walter Chang
Comparison fields: 5 of 129
  • Biophysics 130
  • Orthopedics and Sports Medicine 117
  • Molecular Medicine 59
  • Artificial Intelligence 312
  • Computer Vision and Pattern Recognition 167
Replace Jiahao Wang with:
Jiahao Wang China
Zhe Liu China
Yibo Li China
Chao Tang China
Giorgos Papanastasiou United Kingdom
Qiao Yang China
Jie Chang China
Rani K. Powers United States
Katherine M. Collins United States
Merijn van Erp Netherlands
Walter Chang relative to Jiahao Wang China Jiahao Wang's profile →
Citations per field
00.5×20×40×52×
Jiahao Wang · 1×
Citations per year

Countries citing papers authored by Walter Chang

Since Specialization
Citations

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

Fields of papers citing papers by Walter Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003100
2 200688
3 201773
4 200362
5
Preliminary studies of duration and intensity of ultrasonic treatments on fracture repair.
199257
6 201354
7 200249
8 200447
9 202144
10 201334
11 201130
12 199930
13 200925
14 200924
15 201923
16 201222
17 201522
18 200721
19 202120
20 202120

About Walter Chang

Walter Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Molecular Biology and Signal Processing, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers), Advanced Text Analysis Techniques (9 papers), Multimodal Machine Learning Applications (8 papers), Ultrasound and Hyperthermia Applications (6 papers), Video Analysis and Summarization (4 papers), Speech and dialogue systems (3 papers) and Bone fractures and treatments (3 papers). The work is most often cited by research in Biophysics (130 citations), Orthopedics and Sports Medicine (117 citations), Molecular Medicine (59 citations), Artificial Intelligence (312 citations) and Computer Vision and Pattern Recognition (167 citations). Walter Chang has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Kyle Chang, Wen‐Hsiung Chan, Franck Dernoncourt, Trung Bui, Chung Shih, Jui‐Sheng Sun, Sherry Huang, Scott Cohen, Ahmed Elgammal and Meiling Wu. Their work appears in journals such as Language Resources and Evaluation, Bioelectromagnetics, Ultrasound in Medicine & Biology, Journal of Biomedical Materials Research and Food and Chemical Toxicology.

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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