Chaojian Chen

678 total citations
31 papers, 516 citations indexed

About

Chaojian Chen is a scholar working on Geophysics, Oceanography and Molecular Biology. According to data from OpenAlex, Chaojian Chen has authored 31 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Geophysics, 13 papers in Oceanography and 9 papers in Molecular Biology. Recurrent topics in Chaojian Chen's work include Geophysical and Geoelectrical Methods (21 papers), Geophysics and Gravity Measurements (10 papers) and Geomagnetism and Paleomagnetism Studies (9 papers). Chaojian Chen is often cited by papers focused on Geophysical and Geoelectrical Methods (21 papers), Geophysics and Gravity Measurements (10 papers) and Geomagnetism and Paleomagnetism Studies (9 papers). Chaojian Chen collaborates with scholars based in China, Switzerland and Germany. Chaojian Chen's co-authors include Zhengyong Ren, Jingtian Tang, Kejia Pan, Hansruedi Maurer, Thomas Kalscheuer, Alexey Kuvshinov, Mikhail Kruglyakov, Guang Li, Cong Zhou and Huang Chen and has published in prestigious journals such as Advanced Materials, Geophysical Research Letters and Journal of Materials Chemistry A.

In The Last Decade

Chaojian Chen

28 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaojian Chen China 15 349 221 113 105 63 31 516
Danian Huang China 15 389 1.1× 116 0.5× 202 1.8× 51 0.5× 84 1.3× 35 529
Rongwen Guo China 13 429 1.2× 68 0.3× 230 2.0× 27 0.3× 136 2.2× 59 550
Jianzhong Zhang China 11 257 0.7× 58 0.3× 123 1.1× 19 0.2× 27 0.4× 26 447
T.R. Clem United States 12 89 0.3× 91 0.4× 194 1.7× 22 0.2× 64 1.0× 28 368
Hongzhu Cai China 19 688 2.0× 111 0.5× 426 3.8× 37 0.4× 183 2.9× 66 829
Mark D. Butala United States 15 352 1.0× 73 0.3× 28 0.2× 122 1.2× 83 1.3× 52 836
Leonard R. Pasion Canada 14 387 1.1× 103 0.5× 380 3.4× 48 0.5× 48 0.8× 48 527
Dmitry B. Avdeev Russia 14 781 2.2× 74 0.3× 423 3.7× 153 1.5× 210 3.3× 27 895
Tadashi Takano Japan 16 211 0.6× 127 0.6× 94 0.8× 48 0.5× 182 2.9× 117 1.1k
John Devlin Australia 12 108 0.3× 36 0.2× 32 0.3× 61 0.6× 102 1.6× 35 453

Countries citing papers authored by Chaojian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chaojian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaojian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chaojian Chen. A scholar is included among the top collaborators of Chaojian 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 Chaojian Chen. Chaojian Chen 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.
2.
Li, Guang, et al.. (2024). GTCN: Gated Temporal Convolutional Networks for Controlled-Source Electromagnetic Data Denoising. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14.
3.
Xie, Y. G., et al.. (2024). New insights into Earth’s mantle conductivity and water distribution using Macau Science Satellite-1 data. Earth and Planetary Physics. 9(3). 595–606. 1 indexed citations
4.
Chen, Chaojian, et al.. (2024). Preliminary results suggest observations from Macau Science Satellite-1 system can improve knowledge of tidal-induced magnetic fields. Earth and Planetary Physics. 9(3). 586–594. 2 indexed citations
5.
Chen, Chaojian, et al.. (2023). Enormously large tippers observed in southwest China: can realistic 3-D EM modeling reproduce them?. Earth Planets and Space. 75(1). 109–109.
6.
Li, Guang, et al.. (2023). Multitype Geomagnetic Noise Removal via an Improved U-Net Deep Learning Network. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 14 indexed citations
7.
8.
Chen, Chaojian, et al.. (2022). Constraining the Crustal and Mantle Conductivity Structures Beneath Islands by a Joint Inversion of Multi‐Source Magnetic Transfer Functions. Journal of Geophysical Research Solid Earth. 128(1). 12 indexed citations
9.
Chen, Chaojian, Mikhail Kruglyakov, & Alexey Kuvshinov. (2021). Advanced three-dimensional electromagnetic modelling using a nested integral equation approach. Geophysical Journal International. 226(1). 114–130. 16 indexed citations
10.
Selvadurai, Paul Antony, et al.. (2021). Revisiting Piezoelectric Sensor Calibration Methods Using Elastodynamic Body Waves. Journal of Nondestructive Evaluation. 40(3). 13 indexed citations
11.
Chen, Chaojian, Mikhail Kruglyakov, & Alexey Kuvshinov. (2020). A New Method for Accurate and Efficient Modeling of the Local Ocean Induction Effects. Application to Long‐Period Responses from Island Geomagnetic Observatories. Geophysical Research Letters. 47(8). 18 indexed citations
12.
Li, Guang, Xiaoqiong Liu, Jingtian Tang, et al.. (2019). De-noising low-frequency magnetotelluric data using mathematical morphology filtering and sparse representation. Journal of Applied Geophysics. 172. 103919–103919. 35 indexed citations
13.
Ren, Zhengyong, et al.. (2019). A new method for gravity modeling using tesseroids and 2D Gauss-Legendre quadrature rule. Journal of Applied Geophysics. 164. 53–64. 23 indexed citations
14.
Ren, Zhengyong, et al.. (2019). New analytical expression of the magnetic gradient tensor for homogeneous polyhedrons. Geophysics. 84(3). A31–A35. 7 indexed citations
15.
Chen, Chaojian, Zhengyong Ren, Kejia Pan, et al.. (2018). Exact solutions of the vertical gravitational anomaly for a polyhedral prism with vertical polynomial density contrast of arbitrary orders. Geophysical Journal International. 214(3). 2115–2132. 19 indexed citations
16.
Chen, Chaojian, et al.. (2017). Controlled-source electromagnetic data processing based on gray system theory and robust estimation. Applied Geophysics. 14(4). 570–580. 15 indexed citations
17.
Ren, Zhengyong, Chaojian Chen, Jingtian Tang, et al.. (2017). Closed-form formula of magnetic gradient tensor for a homogeneous polyhedral magnetic target: A tetrahedral grid example. Geophysics. 82(6). WB21–WB28. 13 indexed citations
18.
Zhen, Hongyu, Kan Li, Chaojian Chen, et al.. (2016). Water-borne foldable polymer solar cells: one-step transferring free-standing polymer films onto woven fabric electrodes. Journal of Materials Chemistry A. 5(2). 782–788. 31 indexed citations
19.
Ren, Zhengyong, Chaojian Chen, Kejia Pan, et al.. (2016). Gravity Anomalies of Arbitrary 3D Polyhedral Bodies with Horizontal and Vertical Mass Contrasts. Surveys in Geophysics. 38(2). 479–502. 61 indexed citations
20.
Yu, You, Jifang Zeng, Chaojian Chen, et al.. (2014). Composite Materials: Three‐Dimensional Compressible and Stretchable Conductive Composites (Adv. Mater. 5/2014). Advanced Materials. 26(5). 666–666. 1 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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