Kangjun Chen

815 total citations
17 papers, 475 citations indexed

About

Kangjun Chen is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Kangjun Chen has authored 17 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 7 papers in Oceanography. Recurrent topics in Kangjun Chen's work include Climate variability and models (13 papers), Oceanographic and Atmospheric Processes (6 papers) and Meteorological Phenomena and Simulations (6 papers). Kangjun Chen is often cited by papers focused on Climate variability and models (13 papers), Oceanographic and Atmospheric Processes (6 papers) and Meteorological Phenomena and Simulations (6 papers). Kangjun Chen collaborates with scholars based in China, United States and United Kingdom. Kangjun Chen's co-authors include Qing Bao, Bian He, Pengfei Lin, Yimin Liu, Yongqiang Yu, Jinxiao Li, Guoxiong Wu, Xiaoqi Zhang, Xiaofei Wu and Jing Yang and has published in prestigious journals such as Climate Dynamics, Journal of Structural Geology and Applied Sciences.

In The Last Decade

Kangjun Chen

16 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kangjun Chen China	11	374	314	163	31	24	17	475
Jianxin Wang China	10	157 0.4×	211 0.7×	58 0.4×	32 1.0×	4 0.2×	24	316
Yi Sui China	12	88 0.2×	150 0.5×	244 1.5×	26 0.8×	7 0.3×	32	409
Neil P Barton United States	13	303 0.8×	342 1.1×	109 0.7×	36 1.2×	25 1.0×	22	451
Serge Desjardins Canada	9	218 0.6×	326 1.0×	115 0.7×	8 0.3×	8 0.3×	16	423
Linfeng Fan China	11	109 0.3×	152 0.5×	28 0.2×	13 0.4×	43 1.8×	21	368
Lisa Vielstädte Germany	7	208 0.6×	85 0.3×	71 0.4×	85 2.7×	44 1.8×	12	365
Marta Jurchescu Romania	7	207 0.6×	102 0.3×	10 0.1×	20 0.6×	67 2.8×	16	358
M. R. Huddleston United Kingdom	9	594 1.6×	456 1.5×	508 3.1×	3 0.1×	2 0.1×	14	729
Mir Emad Mousavi United States	7	80 0.2×	130 0.4×	64 0.4×	8 0.3×	33 1.4×	15	352
Graham Simpkins Australia	13	510 1.4×	536 1.7×	215 1.3×	4 0.1×	4 0.2×	47	683

Countries citing papers authored by Kangjun Chen

Since Specialization

Citations

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

Fields of papers citing papers by Kangjun Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangjun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kangjun Chen. A scholar is included among the top collaborators of Kangjun Chen 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 Kangjun Chen. Kangjun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Wu, Ya, et al.. (2025). Applicability of Machine Learning and Mathematical Equations to the Prediction of Total Organic Carbon in Cambrian Shale, Sichuan Basin, China. Applied Sciences. 15(9). 4957–4957.

Jin, Jiangbo, Duoying Ji, Xiao Dong, et al.. (2024). CAS-ESM2.0 Dataset for the Carbon Dioxide Removal Model Intercomparison Project (CDRMIP). Advances in Atmospheric Sciences. 41(5). 989–1000. 3 indexed citations

Lai, Jin, Li Dong, Fei Zhao, et al.. (2023). Reservoir quality evaluation and prediction in ultra-deep tight sandstones in the Kuqa depression, China. Journal of Structural Geology. 170. 104850–104850. 17 indexed citations

Hu, Shuai, Bo Wu, Yiming Wang, et al.. (2023). CAS FGOALS-f3-L Model Datasets for CMIP6 DCPP Experiment. Advances in Atmospheric Sciences. 40(10). 1911–1922. 6 indexed citations

An, Bo, Yongqiang Yu, Helene T. Hewitt, et al.. (2023). The benefits of high-resolution models in simulating the Kuroshio Extension and its long-term changes. Climate Dynamics. 61(11-12). 5407–5427. 6 indexed citations

Lai, Jin, et al.. (2022). Structural diagenesis in ultra-deep tight sandstones in the Kuqa Depression, Tarim Basin, China. Solid Earth. 13(6). 975–1002. 16 indexed citations

Jia, Binghao, Longhuan Wang, Yan Wang, et al.. (2021). CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project. Advances in Atmospheric Sciences. 38(5). 862–874. 2 indexed citations

Bao, Qing, Yimin Liu, Guoxiong Wu, et al.. (2020). CAS FGOALS-f3-H and CAS FGOALS-f3-L outputs for the high-resolution model intercomparison project simulation of CMIP6. Atmospheric and Oceanic Science Letters. 13(6). 576–581. 25 indexed citations

Lin, Pengfei, Zhipeng Yu, Hailong Liu, et al.. (2020). LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project. Advances in Atmospheric Sciences. 37(3). 239–249. 55 indexed citations

10.

Dong, Xiao, Jiangbo Jin, Hailong Liu, et al.. (2020). CAS-ESM2.0 Model Datasets for the CMIP6 Ocean Model Intercomparison Project Phase 1 (OMIP1). Advances in Atmospheric Sciences. 38(2). 307–316. 32 indexed citations

11.

Pu, Ye, Hongbo Liu, Kun Xia, et al.. (2020). CAS FGOALS-g3 Model Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP). Advances in Atmospheric Sciences. 37(10). 1081–1092. 40 indexed citations

12.

Wang, Yaqi, Zipeng Yu, Pengfei Lin, et al.. (2020). FGOALS-g3 Model Datasets for CMIP6 Flux-Anomaly-Forced Model Intercomparison Project. Advances in Atmospheric Sciences. 37(10). 1093–1101. 9 indexed citations

13.

Zhao, Shuwen, Yongqiang Yu, Pengfei Lin, et al.. (2020). Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) Simulations with the Coupled Model CAS FGOALS-f3-L. Advances in Atmospheric Sciences. 38(2). 329–339. 20 indexed citations

14.

He, Bian, Yongqiang Yu, Qing Bao, et al.. (2020). CAS FGOALS-f3-L model dataset descriptions for CMIP6 DECK experiments. Atmospheric and Oceanic Science Letters. 13(6). 582–588. 39 indexed citations

15.

Li, Yiwen, Hailong Liu, Mengrong Ding, et al.. (2020). Eddy-resolving Simulation of CAS-LICOM3 for Phase 2 of the Ocean Model Intercomparison Project. Advances in Atmospheric Sciences. 37(10). 1067–1080. 38 indexed citations

16.

He, Bian, Qing Bao, Xiaocong Wang, et al.. (2019). CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation. Advances in Atmospheric Sciences. 36(8). 771–778. 143 indexed citations

17.

Yang, Jian, et al.. (2018). Theory and application of new automated concrete curing system. Journal of Building Engineering. 17. 125–134. 24 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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