Hongyi Xin

1.8k citations
35 papers · 894 indexed · h-index 15
Topics
Single-cell and spatial transcriptomics (8 papers)Algorithms and Data Compression (8 papers)Genomics and Phylogenetic Studies (6 papers)
Journals
Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Hongyi Xin

29 papers receiving 862 citations

Peers

Hongyi Xin
Comparison fields: 5 of 90
  • Molecular Biology 384
  • Artificial Intelligence 272
  • Computer Networks and Communications 260
  • Hardware and Architecture 232
  • Radiology, Nuclear Medicine and Imaging 126
Replace An Wang with:
An Wang China
Sharath R. Cholleti United States
Manuel Holtgrewe Germany
Filippo Geraci Italy
Shifu Li China
Jack Lanchantin United States
Mieszko Lis United States
Sean Whalen United States
Frank Austin Nothaft United States
Jelena Pješivac–Grbović United States
Hongyi Xin relative to An Wang China An Wang's profile →
Citations per field
00.5×11.5×
An Wang · 1×
Citations per year

Countries citing papers authored by Hongyi Xin

Since Specialization
Citations

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

Fields of papers citing papers by Hongyi Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyi Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyi Xin. A scholar is included among the top collaborators of Hongyi Xin 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 Hongyi Xin. Hongyi Xin 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 11
3 1
4 1
5 15
6 7
7 0
8 8
9 13
10 10
11 38
12 2
13 58
14 6
15 92
16 39
17 46
18 5
19 96
20 0

About Hongyi Xin

Hongyi Xin is a scholar working on Hardware and Architecture, Health Informatics and Artificial Intelligence, having authored 35 papers that have together received 894 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Algorithms and Data Compression (8 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Hardware and Architecture (232 citations), Computer Networks and Communications (260 citations) and Health Informatics (12 citations). Hongyi Xin has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Onur Mutlu, Can Alkan, Gennady Pekhimenko, Wei Chen, Mohammed Alser, Oğuz Ergin, Hasan Hassan, Ying Ding, Phillip B. Gibbons and Todd C. Mowry. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

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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