Ye Jiang

1.1k citations
91 papers · 666 · h-index 16

Impact in

Papers in

Ye Jiang

76 papers receiving 630 citations

Peers

Ye Jiang
Comparison fields: 5 of 153
  • Artificial Intelligence 210
  • Signal Processing 67
  • General Social Sciences 19
  • Critical Care and Intensive Care Medicine 23
  • Management Science and Operations Research 42
Replace Hussain Al-Ahmad with:
Hussain Al-Ahmad United Arab Emirates
Sida Wang China
Kunlun Qi China
Nan Xu China
Pablo Rivas United States
Chris A. Mattmann United States
Danilo Montesi Italy
Mansi Ghodsi United Kingdom
Antonino Staiano Italy
Ye Jiang relative to Hussain Al-Ahmad United Arab Emirates Hussain Al-Ahmad's profile →
Citations per field
00.5×11.5×
Hussain Al-Ahmad · 1×
Citations per year

Countries citing papers authored by Ye Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 202137
3 201931
4 201331
5 201229
6 201928
7 201926
8 201826
9 202321
10 200521
11 201321
12 202018
13 201718
14 201716
15 201416
16 202116
17 201914
18 201011
19 200611
20 201811

About Ye Jiang

Ye Jiang is a scholar working on Artificial Intelligence, Sociology and Political Science, Plant Science, Signal Processing and Biomedical Engineering, having authored 91 papers that have together received 666 indexed citations. Recurring topics across this work include Nematode management and characterization studies (10 papers), Legume Nitrogen Fixing Symbiosis (9 papers), Misinformation and Its Impacts (8 papers), Topic Modeling (7 papers), Speech and Audio Processing (7 papers), Advanced Chemical Sensor Technologies (6 papers), Fuzzy Logic and Control Systems (6 papers) and Probability and Risk Models (5 papers). The work is most often cited by research in Artificial Intelligence (210 citations), Signal Processing (67 citations), General Social Sciences (19 citations), Critical Care and Intensive Care Medicine (23 citations) and Management Science and Operations Research (42 citations). Ye Jiang has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Diana Maynard, Xingyi Song, Zhang Li, Yimin Wang, Kalina Bontcheva, Johann Petrak, Hongyun Han, Jiajia Liu, Kong Aik Lee and R. Erdélyi. Their work appears in journals such as The Astrophysical Journal, Journal of Coastal Research, Phytopathology, Nematology and Information Sciences.

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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