Yilong He

805 total citations
35 papers, 567 citations indexed

About

Yilong He is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Yilong He has authored 35 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Artificial Intelligence. Recurrent topics in Yilong He's work include Topic Modeling (3 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (3 papers). Yilong He is often cited by papers focused on Topic Modeling (3 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (3 papers). Yilong He collaborates with scholars based in China, Botswana and Netherlands. Yilong He's co-authors include Jun‐Wei Xu, Sen-Lin Ji, Min Qian, Yixiao Shen, Hong Yang, Weidong Bai, Xuan Qin, Xiaoyan Liu, Xuya Yu and Jiangsheng Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Yilong He

33 papers receiving 551 citations

Peers

Yilong He
Comparison fields: 5 of 108
  • Molecular Biology 224
  • Pharmacology 129
  • Plant Science 103
  • Food Science 82
  • Genetics 47
Replace Hao Cui with:
Hao Cui China
Arun Balakrishnan India
M. Vijayalakshmi India
Mingzhu Li China
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Mengmeng Sun China
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Ahmed Soliman Egypt
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Hao Cui China View profile →
Citations per field, relative to Yilong He
Yilong He · 1×
Citations per year, relative to Yilong He
Yilong He · 1×

Countries citing papers authored by Yilong He

Since Specialization
Citations

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

Fields of papers citing papers by Yilong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilong He

This figure shows the co-authorship network connecting the top 25 collaborators of Yilong He. A scholar is included among the top collaborators of Yilong He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yilong He. Yilong He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 1
5 7
6 23
7 12
8 28
9 91
10 15
11
Synergistic antibacterial effect of ultrasound microbubbles combined with chitosan-modified polymyxin B-loaded liposomes on biofilm-producing Acinetobacter baumannii
1
12 33
13 35
14 6
15 10
16 44
17 29
18 15
19
Investigation of Soil Contamination Caused by Petroleum Exploitation in Yan'an
2
20
The settling characteristics and terminal velocity of granular sludge in UASB reactor
5

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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