Hui Ye

4.1k citations
241 papers · 2.9k · 1 hit paper · h-index 30

Impact in

Papers in

    • Insect behavior and control techniques 24
    • Insect and Pesticide Research 21
    • Insect-Plant Interactions and Control 20
    • Forest Insect Ecology and Management 42

Hui Ye

223 papers receiving 2.8k citations

Hui Ye's Hit Papers

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images 2020 · 279 citations
2790+2+4Years since publication50100150200250

Peers

Hui Ye
Comparison fields: 5 of 165
  • Insect Science 806
  • Health Informatics 50
  • Ecology 557
  • Radiology, Nuclear Medicine and Imaging 299
  • Hepatology 74
Replace Geng Tian with:
Geng Tian China
Marianne Huebner United States
Jingjia Liu China
Patrick Tan Singapore
Muhammad Shaban China
Bobbie‐Jo Webb‐Robertson United States
Weibo Liang China
Florian Reisinger United Kingdom
Trupti Joshi United States
Sascha Dietrich Germany
Hui Ye relative to Geng Tian China Geng Tian's profile →
Citations per field
00.5×10×15×21.8×
Geng Tian · 1×
Citations per year

Countries citing papers authored by Hui Ye

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images
Hit paper breakdown →
2020279
2 201687
3 199166
4 201564
5
Proteomic based identification of manganese superoxide dismutase 2 (SOD2) as a metastasis marker for oral squamous cell carcinoma.
200857
6 200757
7 200556
8 200554
9 201651
10 200847
11 202047
12 201846
13 201843
14 201443
15 200341
16 200140
17 200637
18 201036
19 199736
20 200036

About Hui Ye

Hui Ye is a scholar working on Insect Science, Ecology, Molecular Biology, Surgery and Plant Science, having authored 241 papers that have together received 2.9k indexed citations. Recurring topics across this work include Forest Insect Ecology and Management (42 papers), Insect behavior and control techniques (24 papers), Insect and Pesticide Research (21 papers), Insect-Plant Interactions and Control (20 papers), Insect and Arachnid Ecology and Behavior (15 papers), Helicobacter pylori-related gastroenterology studies (13 papers), Insect Resistance and Genetics (11 papers) and Insect Pest Control Strategies (10 papers). The work is most often cited by research in Insect Science (806 citations), Health Informatics (50 citations), Ecology (557 citations), Radiology, Nuclear Medicine and Imaging (299 citations) and Hepatology (74 citations). Hui Ye has collaborated with scholars based in China, United States and France. Frequent co-authors include Jianhong Liu, Peng Chen, François Lieutier, Wei Shi, Fu‐Yu Li, Xuezhi Zhang, Yi‐Xin Lin, Carole Kerdelhué, Xianze Xiong and Yuan Gao. Their work appears in journals such as Medicine, Journal of Applied Entomology, PLoS ONE, Insect Science and Evidence-based Complementary and Alternative Medicine.

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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