Su Wang

414 citations
29 papers · 331 · h-index 9

Impact in

Papers in

    • Covalent Organic Framework Applications 6
    • Catalytic Processes in Materials Science 6
    • Machine Learning in Materials Science 2
    • Metal-Organic Frameworks: Synthesis and Applications 12

Su Wang

29 papers receiving 320 citations

Peers

Su Wang
Comparison fields: 5 of 66
  • Inorganic Chemistry 68
  • Electrochemistry 30
  • Earth-Surface Processes 31
  • Water Science and Technology 63
  • Conservation 14
Replace Penka I. Girginova with:
Penka I. Girginova Portugal
Guanghui Tian China
Erwin Baumgartner Argentina
Md Rabiul Islam India
Fergus Gessner Brazil
Tianwei Zhu China
Kirill L. Shafran United Kingdom
G. Kyriacou Greece
Naoki Mikami Japan
Elba Ortíz Mexico
Su Wang relative to Penka I. Girginova Portugal Penka I. Girginova's profile →
Citations per field
00.5×3.9×
Penka I. Girginova · 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-authors

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

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200370
2 201942
3 201539
4 199634
5 201732
6 202212
7 197611
8 201510
9 20239
10 20227
11 20246
12 20246
13 20236
14 20156
15 20225
16 20215
17 20125
18 20144
19 20194
20 20233

About Su Wang

Su Wang is a scholar working on Materials Chemistry, Inorganic Chemistry, Electrical and Electronic Engineering, Mechanical Engineering and Earth-Surface Processes, having authored 29 papers that have together received 331 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (12 papers), Covalent Organic Framework Applications (6 papers), Catalytic Processes in Materials Science (6 papers), Electrochemical Analysis and Applications (3 papers), Building materials and conservation (3 papers), Cultural Heritage Materials Analysis (3 papers), Molecular Sensors and Ion Detection (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Inorganic Chemistry (68 citations), Electrochemistry (30 citations), Earth-Surface Processes (31 citations), Water Science and Technology (63 citations) and Conservation (14 citations). Su Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Jia‐Qian Jiang, John E. Baur, Song Xu, Zhongyu Li, Qian Liang, Xiaogang Yang, Pujun Jin, John F. Hansen, Yue Zhang and Xin Zhang. Their work appears in journals such as Inorganic Chemistry, Energy storage materials, Journal of Biomolecular NMR, RSC Advances and Tetrahedron.

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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