Grace S. Wang

689 citations
15 papers · 552 · h-index 8

Impact in

Papers in

Grace S. Wang

12 papers receiving 479 citations

Peers

Grace S. Wang
Comparison fields: 5 of 72
  • Rheumatology 175
  • Pathology and Forensic Medicine 160
  • Immunology 73
  • Pulmonary and Respiratory Medicine 105
  • Epidemiology 104
Replace Mitsuhiro Inoue with:
Mitsuhiro Inoue Japan
Matthew D. Alexander United States
Michael Egan United States
Kristina Potočki Croatia
Jingwei Zheng China
Huimin Liang China
Glenn L. Alexander United States
Tsuyoshi Takada Japan
Paolo Morabito Italy
Shuang Chen China
Grace S. Wang relative to Mitsuhiro Inoue Japan Mitsuhiro Inoue's profile →
Citations per field
00.5×6.7×
Mitsuhiro Inoue · 1×
Citations per year

Countries citing papers authored by Grace S. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Grace S. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace S. 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 Grace S. Wang. The network helps show where Grace S. Wang may publish in the future.

Co-authors

The 15 scholars most cited alongside Grace S. 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 Grace S. Wang Line = papers co-authored together Grace S. Wang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1999286
2 198981
3 199337
4 201537
5 200830
6 200729
7 199125
8 201312
9 20077
10 20244
11
Seismic Fragility Analysis Framework For Pile-supportedWharf
20112
12
Application Of Artificial Neural Network And Genetic Algorithm To System Identification
20061
13 20251
14 20250
15 20080

About Grace S. Wang

Grace S. Wang is a scholar working on Civil and Structural Engineering, Environmental Engineering, Ocean Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 15 papers that have together received 552 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (3 papers), Fuzzy Logic and Control Systems (2 papers), Geotechnical Engineering and Underground Structures (2 papers), Neural Networks and Applications (2 papers), Geotechnical Engineering and Analysis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Dam Engineering and Safety (2 papers) and Soil Moisture and Remote Sensing (1 paper). The work is most often cited by research in Rheumatology (175 citations), Pathology and Forensic Medicine (160 citations), Immunology (73 citations), Pulmonary and Respiratory Medicine (105 citations) and Epidemiology (104 citations). Grace S. Wang has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Gordon C. Sharp, Robert W. Hoffman, Jane C. Johnson, Susan L. Deutscher, Yoshihiko Takeda, Richard J. Wang, Ingvar Pettersson, Sharon K. Anderson, Hund‐Der Yeh and James T. Cassidy. Their work appears in journals such as Journal of Hydrology, Applied Sciences, Structural Control and Health Monitoring, Lecture notes in computer science and Mathematical Problems in Engineering.

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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