Chengxi Ye

3.2k citations
20 papers · 1.5k indexed · 1 hit paper · h-index 14
Topics
Genomics and Phylogenetic Studies (6 papers)Advancements in Battery Materials (5 papers)Advanced Battery Materials and Technologies (4 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsJournal of The Electrochemical Society

In The Last Decade

Chengxi Ye

20 papers receiving 1.4k citations

Hit Papers

Biodiversity soup: metabarcoding of arthropods for rapid ...20122026201620212012100200300400500

Peers

Chengxi Ye
Comparison fields: 5 of 128
  • Molecular Biology 714
  • Ecology 629
  • Plant Science 210
  • Electrical and Electronic Engineering 202
  • Genetics 199
Replace David Kainer with:
David Kainer United States
Col R. Ford United Kingdom
Xing‐Xing Shen China
Si‐Min Lin Taiwan
Christine E. Edwards United States
Daniel J. Aneshansley United States
Mandë Holford United States
Kim Bjerge Denmark
Guoqing Lu United States
Valeria Maselli Italy
Chengxi Ye relative to David Kainer United States David Kainer's profile →
Citations per field
00.5×10×20×25.3×
David Kainer · 1×
Citations per year

Countries citing papers authored by Chengxi Ye

Since Specialization
Citations

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

Fields of papers citing papers by Chengxi Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengxi Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Chengxi Ye. A scholar is included among the top collaborators of Chengxi Ye 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 Chengxi Ye. Chengxi Ye 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
#WorkIndexed citations
1 5
2 34
3 1
4 1
5 13
6 67
7 23
8 34
9 64
10
Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data.
18
11 20
12 23
13 13
14 206
15 49
16 7
17 69
18
Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoringbreakdown →
529
19 296
20 2

About Chengxi Ye

Chengxi Ye is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Automotive Engineering, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Advancements in Battery Materials (5 papers) and Advanced Battery Materials and Technologies (4 papers). The work is most often cited by research in Ecological Modeling (128 citations), Ecology (629 citations) and Molecular Biology (714 citations). Chengxi Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Douglas W. Yu, Zhaoli Ding, Xiaoyang Wang, Chunyan Yang, Yinqiu Ji, Brent C. Emerson, Charles H. Cannon, Zhanshan Ma, Mihai Pop and Zhanshan Sam. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of The Electrochemical Society.

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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