Ya Jin

1.8k citations
63 papers · 1.6k · h-index 22

Impact in

Papers in

    • Advanced Proteomics Techniques and Applications 22
    • Mass Spectrometry Techniques and Applications 19
    • Metabolomics and Mass Spectrometry Studies 10

Ya Jin

59 papers receiving 1.6k citations

Peers

Ya Jin
Comparison fields: 5 of 127
  • Computational Mechanics 647
  • Ocean Engineering 209
  • Spectroscopy 177
  • Mechanical Engineering 353
  • Biomedical Engineering 358
Replace Yuanqing Xu with:
Yuanqing Xu China
Zhe Lin China
Katsumi Tsuchiya Japan
Kenneth Williams Australia
Li‐Tao Zhu China
Ruijun Li China
Jiamin Ye China
Weijie Li China
Jie Pan China
Vladimir Živković United Kingdom
Ya Jin relative to Yuanqing Xu China Yuanqing Xu's profile →
Citations per field
00.5×2×3×4.2×
Yuanqing Xu · 1×
Citations per year

Countries citing papers authored by Ya Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ya Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ya Jin, 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 Ya Jin Line = papers co-authored together Ya Jin 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 1995169
2 1992166
3 2002140
4 1992118
5 199681
6 201674
7 199960
8 199059
9 200643
10 199542
11 200241
12 199241
13 201038
14 200632
15 200331
16 200131
17 201930
18 200527
19 200725
20 200425

About Ya Jin

Ya Jin is a scholar working on Spectroscopy, Molecular Biology, Computational Mechanics, Mechanical Engineering and Biomedical Engineering, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (22 papers), Mass Spectrometry Techniques and Applications (19 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Granular flow and fluidized beds (10 papers), Fault Detection and Control Systems (6 papers), Cyclone Separators and Fluid Dynamics (6 papers), Fluid Dynamics and Mixing (5 papers) and Mineral Processing and Grinding (5 papers). The work is most often cited by research in Computational Mechanics (647 citations), Ocean Engineering (209 citations), Spectroscopy (177 citations), Mechanical Engineering (353 citations) and Biomedical Engineering (358 citations). Ya Jin has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Takashi Manabe, Jesse Zhu, Dingrong Bai, Lan Xiang, Zhigang Yu, Ze Wang, John R. Grace, Allan S. Issangya, Di Zhou and Xin Xie. Their work appears in journals such as Electrophoresis, Chemical Engineering & Technology, Journal of Chromatography B, Powder Technology and International Journal of Systems Science.

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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