Stephen Gang Wu

1.7k citations
20 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
Enzyme Catalysis and Immobilization (7 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)Electrochemical sensors and biosensors (3 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Stephen Gang Wu

20 papers receiving 1.1k citations

Hit Papers

A Leaf Recognition Algorithm for Plant Classification Usi...20072026201320192007200400600

Peers

Stephen Gang Wu
Comparison fields: 5 of 113
  • Plant Science 551
  • Molecular Biology 347
  • Analytical Chemistry 226
  • Ecology 165
  • Materials Chemistry 164
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Stephen Gang Wu relative to Yingpeng Zhang China Yingpeng Zhang's profile →
Citations per field
00.5×9.8×
Yingpeng Zhang · 1×
Citations per year

Countries citing papers authored by Stephen Gang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Gang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Gang Wu. 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 Stephen Gang Wu. The network helps show where Stephen Gang Wu may publish in the future.

Co-authorship network of co-authors of Stephen Gang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Gang Wu. A scholar is included among the top collaborators of Stephen Gang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Gang Wu. Stephen Gang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 23
3 38
4 35
5 3
6 7
7 30
8 60
9 4
10 5
11 14
12 33
13 21
14 7
15 37
16 14
17 59
18 98
19
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Networkbreakdown →
626
20 83

About Stephen Gang Wu

Stephen Gang Wu is a scholar working on Process Chemistry and Technology, Molecular Biology and Immunology and Allergy, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Analytical Chemistry (226 citations), Process Chemistry and Technology (55 citations) and Plant Science (551 citations). Stephen Gang Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yuxuan Wang, Forrest Sheng Bao, Qiao-Liang Xiang, Yi‐Fan Chang, Yinjie Tang, Da‐Ren Chen, Li Huang, Anming Wang, Lian He and In Chul Kong. Their work appears in journals such as Inorganic Chemistry, BMC Bioinformatics and RSC Advances.

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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