Xin Hong

103 papers receiving 1.1k citations

Peers

Xin Hong
Comparison fields: 5 of 147
  • Computer Vision and Pattern Recognition 474
  • Molecular Biology 306
  • Artificial Intelligence 175
  • Plant Science 157
  • Computer Networks and Communications 152
Replace Zhenyu Li with:
Zhenyu Li China
Xiaowei Qin China
Lin Huang China
Wei Feng China
Chandra Shekhar India
Michael J. McGuffin Canada
Xia Liu China
Pei Yang China
Pei Wang China
Lan Zhou United States
Xin Hong relative to Zhenyu Li China Zhenyu Li's profile →
Citations per field
00.5×
Zhenyu Li · 1×
Citations per year

Countries citing papers authored by Xin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Hong. A scholar is included among the top collaborators of Xin Hong 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 Xin Hong. Xin Hong 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 2
2 3
3 0
4 15
5 0
6 13
7 3
8 2
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10 16
11 8
12 2
13 1
14 3
15 1
16
Application of artificial sperrmatophore transplantation in penaeus monodon nursery
1
17
OpenHome : Approaches to Constructing Sharable Datasets within Smart Homes
2
18 26
19 29
20
Antitumor diterpenoids from Hedychium yunnanense and their photosensitized oxidation
5

About Xin Hong

Xin Hong is a scholar working on Computer Vision and Pattern Recognition, Ecology, Evolution, Behavior and Systematics and Pharmacology, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (31 papers), Plant Diversity and Evolution (25 papers) and Plant Parasitism and Resistance (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (474 citations), Ecology, Evolution, Behavior and Systematics (133 citations) and Computer Networks and Communications (152 citations). Xin Hong has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chris Nugent, Maurice Mulvenna, Bryan Scotney, Sally McClean, Fang Wen, Xiao‐Jiang Hao, Yuemao Shen, Hong‐Ping He, Yun-Song Wang and Liming Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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