Hong An

4.7k total citations · 1 hit paper
115 papers, 2.6k citations indexed

About

Hong An is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hong An has authored 115 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Hardware and Architecture, 40 papers in Computer Networks and Communications and 30 papers in Artificial Intelligence. Recurrent topics in Hong An's work include Parallel Computing and Optimization Techniques (46 papers), Advanced Data Storage Technologies (21 papers) and Distributed and Parallel Computing Systems (13 papers). Hong An is often cited by papers focused on Parallel Computing and Optimization Techniques (46 papers), Advanced Data Storage Technologies (21 papers) and Distributed and Parallel Computing Systems (13 papers). Hong An collaborates with scholars based in China, United States and United Kingdom. Hong An's co-authors include Zhong Wang, Dongwan Kang, Edward Kirton, Feng Li, Rob Egan, Lixin He, Xiaoyu Hao, Jun Shi, Wen-Yuan Liu and Yong‐Jian Han and has published in prestigious journals such as Nature Communications, Neurology and IEEE Access.

In The Last Decade

Hong An

91 papers receiving 2.5k citations

Hit Papers

MetaBAT 2: an adaptive binning algorithm for robust and e... 2019 2026 2021 2023 2019 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies
    2019 2.1k citations Hong An et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hong An China 13 1.2k 1.1k 373 284 219 115 2.6k
Stephen R. Lindemann United States 29 1.4k 1.1× 874 0.8× 260 0.7× 109 0.4× 223 1.0× 90 3.2k
Seán Turner United States 22 2.0k 1.6× 1.2k 1.2× 228 0.6× 253 0.9× 235 1.1× 47 4.5k
Hing‐Fung Ting Hong Kong 14 878 0.7× 621 0.6× 212 0.6× 136 0.5× 86 0.4× 74 2.2k
Guy Cochrane United Kingdom 27 2.6k 2.1× 984 0.9× 103 0.3× 269 0.9× 171 0.8× 68 4.1k
Antonia J. Jones United Kingdom 13 605 0.5× 727 0.7× 190 0.5× 229 0.8× 78 0.4× 25 1.9k
Matthias Hess United States 24 2.1k 1.7× 1.4k 1.3× 356 1.0× 318 1.1× 335 1.5× 58 4.0k
Lawrence O. Ticknor United States 23 1.3k 1.0× 1.3k 1.2× 219 0.6× 222 0.8× 73 0.3× 33 2.9k
Shibu Yooseph United States 40 4.0k 3.2× 2.0k 1.9× 187 0.5× 285 1.0× 283 1.3× 100 6.6k
Hélène Touzet France 17 1.5k 1.2× 728 0.7× 184 0.5× 161 0.6× 125 0.6× 40 2.7k
Christopher J. Fields United States 25 2.1k 1.7× 454 0.4× 94 0.3× 108 0.4× 141 0.6× 58 3.5k

Countries citing papers authored by Hong An

Since Specialization
Citations

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

Fields of papers citing papers by Hong An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong An

This figure shows the co-authorship network connecting the top 25 collaborators of Hong An. A scholar is included among the top collaborators of Hong An 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 Hong An. Hong An 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
1.
Zhao, Chun, Mingyue Xu, Xiaoyu Hao, et al.. (2025). Excessive equatorial light rain causes modeling dry bias of Indian summer monsoon rainfall. npj Climate and Atmospheric Science. 8(1). 2 indexed citations
2.
Qiao, Liang, Jun Shi, Xiaoyu Hao, et al.. (2025). Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning. 949–965.
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Zhu, Ziqi, et al.. (2024). Pixel-wise Divide and Conquer for Federated Vessel Segmentation. 4851–4859. 3 indexed citations
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Cao, Zhenwei, Lingyun Wan, Xinming Qin, et al.. (2024). Extending the limit of LR-TDDFT on two different approaches: Numerical algorithms and new Sunway heterogeneous supercomputer. Parallel Computing. 120. 103085–103085. 2 indexed citations
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Shi, Jun, et al.. (2023). Rethinking automatic segmentation of gross target volume from a decoupling perspective. Computerized Medical Imaging and Graphics. 112. 102323–102323. 1 indexed citations
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Xiao, Qian, et al.. (2023). Deep learning representations for quantum many-body systems on heterogeneous hardware. Machine Learning Science and Technology. 4(1). 15035–15035. 8 indexed citations
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McCrimmon, Colin M., Ming Wang, Po T. Wang, et al.. (2017). Performance Assessment of a Custom, Portable, and Low-Cost Brain–Computer Interface Platform. IEEE Transactions on Biomedical Engineering. 64(10). 2313–2320. 34 indexed citations
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An, Hong, et al.. (2017). Improving the Performance of Distributed TensorFlow with RDMA. International Journal of Parallel Programming. 46(4). 674–685. 20 indexed citations
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Zhang, Aimin, et al.. (2016). Efficient Sparse Matrix-vector Multiplication on Intel Xeon Phi. 37(4). 823. 1 indexed citations
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Wang, Yaobin, et al.. (2015). Speculative Parallelism Characterization Profiling in General Purpose Computing Applications. Journal of Computing Science and Engineering. 9(1). 20–28. 1 indexed citations
20.
An, Hong. (2002). Image Matching Based on Fractal Image Coding. Dianzi xuebao. 4 indexed citations

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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