Bo Qin

3.1k total citations · 1 hit paper
29 papers, 1.6k citations indexed

About

Bo Qin is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Bo Qin has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Bo Qin's work include Meteorological Phenomena and Simulations (18 papers), Climate variability and models (13 papers) and Oceanographic and Atmospheric Processes (6 papers). Bo Qin is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Climate variability and models (13 papers) and Oceanographic and Atmospheric Processes (6 papers). Bo Qin collaborates with scholars based in China, United States and Chile. Bo Qin's co-authors include Tao Liu, Yong Zhang, Jianxing Feng, Xiaole Shirley Liu, Shijin Yuan, Henry W. Long, Marie K. Schwinn, Matthew D. Galbraith, Joaquı́n M. Espinosa and William C. Hahn and has published in prestigious journals such as Cell, Bioinformatics and Nature Protocols.

In The Last Decade

Bo Qin

22 papers receiving 1.6k citations

Hit Papers

Identifying ChIP-seq enri... 2012 2026 2016 2021 2012 250 500 750 1000
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. Identifying ChIP-seq enrichment using MACS
    2012 1.1k citations Jianxing Feng, Tao Liu et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Qin China 9 1.2k 254 201 195 130 29 1.6k
Manabu Koike Japan 22 923 0.8× 267 1.1× 84 0.4× 153 0.8× 259 2.0× 60 1.2k
Eric Rynes United States 9 1.1k 0.9× 317 1.2× 177 0.9× 343 1.8× 82 0.6× 9 1.5k
Guangjun Zhang China 28 1.3k 1.1× 586 2.3× 60 0.3× 198 1.0× 191 1.5× 101 2.1k
Haiming Xu China 21 607 0.5× 155 0.6× 275 1.4× 290 1.5× 78 0.6× 81 1.1k
Jian Zhao China 26 2.2k 1.8× 250 1.0× 134 0.7× 335 1.7× 149 1.1× 76 2.7k
Jing‐Woei Li Hong Kong 21 651 0.6× 370 1.5× 58 0.3× 194 1.0× 119 0.9× 39 1.5k
Yingtian Xie United States 12 322 0.3× 114 0.4× 203 1.0× 53 0.3× 74 0.6× 12 661
Jinxiang Wang China 16 519 0.4× 146 0.6× 188 0.9× 65 0.3× 218 1.7× 52 1.2k
Zixing Fang United States 15 776 0.7× 313 1.2× 52 0.3× 83 0.4× 122 0.9× 19 1.9k
Guoqing Lin United States 25 283 0.2× 122 0.5× 86 0.4× 237 1.2× 40 0.3× 70 1.8k

Countries citing papers authored by Bo Qin

Since Specialization
Citations

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

Fields of papers citing papers by Bo Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Qin. A scholar is included among the top collaborators of Bo Qin 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 Bo Qin. Bo Qin 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.
Mu, Mu, Bo Qin, Tao Lian, et al.. (2025). Toward skillful forecasting of super El Niño events using a diffusion-based westerly wind burst parameterization. npj Climate and Atmospheric Science. 8(1).
2.
3.
Qin, Bo, Mu Mu, Yuntao Wei, et al.. (2024). The first kind of predictability problem of El Niño predictions in a multivariate coupled data‐driven model. Quarterly Journal of the Royal Meteorological Society. 150(765). 5452–5471. 9 indexed citations
4.
5.
Yuan, Shijin, et al.. (2024). Incorporating heat budget dynamics in a Transformer-based deep learning model for skillful ENSO prediction. npj Climate and Atmospheric Science. 7(1). 5 indexed citations
6.
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8.
Mu, Mu, Bo Qin, & Guokun Dai. (2024). Predictability Study of Weather and Climate Events Related to Artificial Intelligence Models. Advances in Atmospheric Sciences. 42(1). 1–8. 8 indexed citations
9.
Yuan, Shijin, et al.. (2023). A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP. Ocean Modelling. 184. 102213–102213. 1 indexed citations
10.
Yuan, Shijin, et al.. (2023). Estimating the tropical cyclone wind structure using physics-incorporated networks. Frontiers in Earth Science. 10. 3 indexed citations
11.
Yuan, Shijin, et al.. (2023). A radiative transfer deep learning model coupled into WRF with a generic fortran torch adaptor. Frontiers in Earth Science. 11. 7 indexed citations
12.
Qin, Bo, et al.. (2023). CAU: A Causality Attention Unit for Spatial-Temporal Sequence Forecast. IEEE Transactions on Multimedia. 26. 4749–4763. 3 indexed citations
13.
Mu, Bin, et al.. (2023). NAO Seasonal Forecast Using a Multivariate Air–Sea Coupled Deep Learning Model Combined with Causal Discovery. Atmosphere. 14(5). 792–792. 7 indexed citations
14.
Yuan, Shijin, et al.. (2022). Simulation, precursor analysis and targeted observation sensitive area identification for two types of ENSO using ENSO-MC v1.0. Geoscientific model development. 15(10). 4105–4127. 12 indexed citations
15.
Mu, Bin, Bo Qin, & Shijin Yuan. (2022). ENSO‐GTC: ENSO Deep Learning Forecast Model With a Global Spatial‐Temporal Teleconnection Coupler. Journal of Advances in Modeling Earth Systems. 14(12). 23 indexed citations
16.
Qin, Bo, et al.. (2021). ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air–sea coupler. Geoscientific model development. 14(11). 6977–6999. 46 indexed citations
17.
Qin, Bo, et al.. (2020). Multi-Scale Downscaling with Bayesian Convolution Network for ENSO SST Pattern. 359–362. 4 indexed citations
18.
Mu, Bin, et al.. (2020). A Climate Downscaling Deep Learning Model considering the Multiscale Spatial Correlations and Chaos of Meteorological Events. Mathematical Problems in Engineering. 2020. 1–17. 10 indexed citations
19.
Feng, Jianxing, Tao Liu, Bo Qin, Yong Zhang, & Xiaole Shirley Liu. (2012). Identifying ChIP-seq enrichment using MACS. Nature Protocols. 7(9). 1728–1740. 1128 indexed citations breakdown →
20.
Qin, Bo. (2006). Driver training system based on system simulation technology.

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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