Baichun Wang

1.3k citations
63 papers · 1.1k · h-index 19

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 13
    • Glycosylation and Glycoproteins Research 8
    • Advanced Proteomics Techniques and Applications 8
    • Mass Spectrometry Techniques and Applications 8

Baichun Wang

61 papers receiving 1.1k citations

Peers

Baichun Wang
Comparison fields: 5 of 98
  • Spectroscopy 175
  • Inorganic Chemistry 139
  • Analytical Chemistry 94
  • Materials Chemistry 398
  • Renewable Energy, Sustainability and the Environment 112
Replace Jiwei Shen with:
Jiwei Shen China
Zhonghua Wang China
Beibei Zhang China
Lei Yue China
Jun Qian China
Jianfeng Xu China
Mürvet Volkan Türkiye
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Nobuaki Ogawa Japan
Baichun Wang relative to Jiwei Shen China Jiwei Shen's profile →
Citations per field
00.5×1.5×2.2×
Jiwei Shen · 1×
Citations per year

Countries citing papers authored by Baichun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baichun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004108
2 200588
3 201581
4 201880
5 202346
6 202442
7 200839
8 202137
9 202237
10 201935
11 202128
12 201525
13 202324
14 202224
15 200424
16 202123
17 201922
18 202220
19 201918
20 202318

About Baichun Wang

Baichun Wang is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Analytical Chemistry and Inorganic Chemistry, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (13 papers), Glycosylation and Glycoproteins Research (8 papers), Diamond and Carbon-based Materials Research (8 papers), Advanced Proteomics Techniques and Applications (8 papers), Analytical chemistry methods development (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers) and Covalent Organic Framework Applications (5 papers). The work is most often cited by research in Spectroscopy (175 citations), Inorganic Chemistry (139 citations), Analytical Chemistry (94 citations), Materials Chemistry (398 citations) and Renewable Energy, Sustainability and the Environment (112 citations). Baichun Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yinghua Yan, Yongwei Zhu, Xiangyang Xu, Zhi‐Ming Yu, Chuan‐Fan Ding, Hongze Liang, Yujie Lu, Keqi Tang, Dapeng Wu and Aijiao Zhou. Their work appears in journals such as Microchimica Acta, Rapid Communications in Mass Spectrometry, Journal of Material Science and Technology, Journal of Chromatography A and Chromatographia.

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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