Xiaobing Wei

650 citations
34 papers · 464 · h-index 13

Impact in

Papers in

Xiaobing Wei

31 papers receiving 456 citations

Peers

Xiaobing Wei
Comparison fields: 5 of 101
  • Electrochemistry 45
  • Agronomy and Crop Science 44
  • Bioengineering 20
  • Nutrition and Dietetics 52
  • Analytical Chemistry 31
Replace Paula Martin de Moraes with:
Paula Martin de Moraes Brazil
Shuo Liu China
Majid Zeinali Iran
Markéta Komínková Czechia
Abigail T. Farmer United States
Yufeng Huang China
Yaowen Zhang China
Macario Martínez Castillo Mexico
Hyun‐Ju Um South Korea
Manuela Friederike Richter Switzerland
Xiaobing Wei relative to Paula Martin de Moraes Brazil Paula Martin de Moraes's profile →
Citations per field
00.5×2×4×6×8×9.5×
Paula Martin de Moraes · 1×
Citations per year

Countries citing papers authored by Xiaobing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 202056
3 201739
4 202336
5 201734
6 202433
7 201830
8 201629
9 202318
10 201416
11 201815
12 202113
13 201813
14 20239
15 20228
16 20188
17 20216
18 20176
19 20196
20 20244

About Xiaobing Wei

Xiaobing Wei is a scholar working on Electrochemistry, Molecular Biology, Surfaces, Coatings and Films, Biotechnology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 464 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (3 papers), Electrochemical Analysis and Applications (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Research and Treatments (2 papers), Polymer Surface Interaction Studies (2 papers), Animal Virus Infections Studies (2 papers), RNA modifications and cancer (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Electrochemistry (45 citations), Agronomy and Crop Science (44 citations), Bioengineering (20 citations), Nutrition and Dietetics (52 citations) and Analytical Chemistry (31 citations). Xiaobing Wei has collaborated with scholars based in China, Belgium and Ukraine. Frequent co-authors include Xiaojing Xia, Xinhua Xu, Xingyou Liu, Haosheng Huang, Xiulin Zhang, Wen Qi, X. Zhang, Ying Wu, Lifang Zhang and Xinhua Xu. Their work appears in journals such as Journal of Materials Science, Redox Biology, Antonie van Leeuwenhoek, Chemical Communications and Food & Function.

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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