Shuling Shen

1.7k citations
55 papers · 1.3k · h-index 19

Impact in

    • Postharvest Quality and Shelf Life Management
    • Plant Physiology and Cultivation Studies
    • Plant Molecular Biology Research

Papers in

Shuling Shen

52 papers receiving 1.3k citations

Peers

Shuling Shen
Comparison fields: 5 of 105
  • Biochemistry 107
  • Plant Science 541
  • Modeling and Simulation 62
  • Statistical and Nonlinear Physics 172
  • Molecular Biology 489
Replace Long Ma with:
Long Ma China
Deepanjan Bhattacharya India
Adria Carbo United States
Sen Li China
Kumar Selvarajoo Singapore
Michael Ederer Germany
Osbaldo Reséndis-Antonio Mexico
Miguel A. Juárez United Kingdom
Barbara L. Dunn United States
Shuling Shen relative to Long Ma China Long Ma's profile →
Citations per field
00.5×2×4×6×7.6×
Long Ma · 1×
Citations per year

Countries citing papers authored by Shuling Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017188
2 2019179
3 2016106
4 201673
5 201471
6 202367
7 202256
8 201643
9 202441
10 202035
11 202234
12 201933
13 202128
14 202328
15 202227
16 202325
17 202221
18 202420
19 201919
20 202319

About Shuling Shen

Shuling Shen is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Plant Science, Modeling and Simulation and Genetics, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Opinion Dynamics and Social Influence (17 papers), Postharvest Quality and Shelf Life Management (14 papers), Complex Network Analysis Techniques (10 papers), Evolution and Genetic Dynamics (9 papers), Plant Physiology and Cultivation Studies (6 papers), Plant Gene Expression Analysis (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Biochemistry (107 citations), Plant Science (541 citations), Modeling and Simulation (62 citations), Statistical and Nonlinear Physics (172 citations) and Molecular Biology (489 citations). Shuling Shen has collaborated with scholars based in China, United Kingdom and New Zealand. Frequent co-authors include Linhe Zhu, Bo Zhang, Kunsong Chen, Yin X, Xiaolin Zheng, Xiulan Xie, Tianjia Jiang, Gui Guan, Harry J. Klee and Xiang Li. Their work appears in journals such as Postharvest Biology and Technology, Chaos Solitons & Fractals, Engineering Applications of Artificial Intelligence, Journal of Experimental Botany and Ain Shams Engineering Journal.

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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