Su Wang

769 citations
33 papers · 613 indexed · h-index 11

Su Wang

29 papers receiving 585 citations

Peers

Su Wang
Comparison fields: 5 of 76
  • Media Technology 374
  • Atmospheric Science 242
  • Computer Vision and Pattern Recognition 132
  • Geology 35
  • Analytical Chemistry 59
Replace Guoming Gao with:
Guoming Gao China
Hongzhen Wang China
Karsten Schulz Germany
Hong Tang China
Albert Prades Spain
Runyu Fan China
Cesario Vincenzo Angelino Italy
Hao Cui China
Kui Wu China
Pietro Guccione Italy
Su Wang relative to Guoming Gao China Guoming Gao's profile →
Citations per field
00.5×5.4×
Guoming Gao · 1×
Citations per year

Countries citing papers authored by Su Wang

Since Specialization
Citations

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

Fields of papers citing papers by Su Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20232
3 20231
4 202214
5 20215
6 20209
7 202024
8 20201
9 20194
10 201918
11 20171
12
Differences between the Middle Permian Qixia and Maokou source rocks in the Sichuan Basin
201612
13 20100
14
Coding technology in PDM oriented to automobile manufacturers
20080
15 2006396
16 200510
17 20042
18
Electrical properties and applications of (ZrO2)(0.92)(Y2O3)(0.08) electrolyte thin wall tubes prepared by improved slip casting method
20031
19
The Corrosion Behaviors of Welded Joints of 3C Carbon Hull Structural Steels
20011
20
Cylindrite: The relation between its cylindrical shape and modulated structure
19929

About Su Wang

Su Wang is a scholar working on Geology, Mechanics of Materials, Media Technology, Geophysics and Safety, Risk, Reliability and Quality, having authored 33 papers that have together received 613 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (6 papers), Metallurgical Processes and Thermodynamics (4 papers), Geological and Geophysical Studies (4 papers), Geological and Geochemical Analysis (3 papers), Lattice Boltzmann Simulation Studies (2 papers), Geoscience and Mining Technology (2 papers), Geochemistry and Geologic Mapping (2 papers) and Iron and Steelmaking Processes (2 papers). The work is most often cited by research in Media Technology (374 citations), Atmospheric Science (242 citations), Computer Vision and Pattern Recognition (132 citations), Geology (35 citations) and Analytical Chemistry (59 citations). Su Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chein‐I Chang, Qingchun Jiang, Miaoyong Zhu, Xizeng Zhao, Shipeng Huang, Peter R. Buseck, Weiling Wang, Sen Luo, Dongbin Jiang and Xiaoyue Chen. Their work appears in journals such as Petroleum Exploration and Development, Journal of Iron and Steel Research International, Ironmaking & Steelmaking Processes Products and Applications, Measurement and Buildings.

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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