Jingye Wang

1.8k citations
30 papers · 1.0k · 1 hit paper · h-index 12

Impact in

Papers in

Jingye Wang

28 papers receiving 1.0k citations

Hit Papers

Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data 2018 · 441 citations
4410+2+5Years since publication100200300400

Peers

Jingye Wang
Comparison fields: 5 of 143
  • Hepatology 60
  • Horticulture 7
  • Cancer Research 109
  • Molecular Biology 495
  • Health Informatics 9
Replace Runmin Wei with:
Runmin Wei United States
Lin Tan China
Animesh Acharjee United Kingdom
Dongjun Chung United States
Partho Sen Sweden
Lin Yang China
Xiaolin Zhu China
John P. Rooney United States
Xiaoyu Zhang China
Yanrong Li China
Jingye Wang relative to Runmin Wei United States Runmin Wei's profile →
Citations per field
00.5×1.5×
Runmin Wei · 1×
Citations per year

Countries citing papers authored by Jingye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
Hit paper breakdown →
2018441
2 2018117
3 201788
4 201871
5 201947
6 202144
7 202034
8 202032
9 201828
10 202026
11 202221
12 201817
13 202310
14 20237
15 20197
16 20226
17 20196
18 20115
19 20234
20 20233

About Jingye Wang

Jingye Wang is a scholar working on Molecular Biology, Materials Chemistry, Mechanics of Materials, Cancer Research and Ecology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Circular RNAs in diseases (3 papers), Adhesion, Friction, and Surface Interactions (3 papers), Thermal properties of materials (3 papers), Cancer-related molecular mechanisms research (3 papers), Hepatitis B Virus Studies (2 papers), Atmospheric chemistry and aerosols (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Hepatology (60 citations), Horticulture (7 citations), Cancer Research (109 citations), Molecular Biology (495 citations) and Health Informatics (9 citations). Jingye Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Runmin Wei, Tianlu Chen, Yan Ni, Mingming Su, Shaoqiu Chen, Wei Jia, Nannan Ren, Xuehao Chen, Qiang Xu and Chunlu Qian. Their work appears in journals such as Scientific Reports, PeerJ, International Journal of Heat and Mass Transfer, Energy storage materials and Food Chemistry.

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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