Jiangjun Ran

695 total citations
40 papers, 473 citations indexed

About

Jiangjun Ran is a scholar working on Oceanography, Geophysics and Molecular Biology. According to data from OpenAlex, Jiangjun Ran has authored 40 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oceanography, 13 papers in Geophysics and 11 papers in Molecular Biology. Recurrent topics in Jiangjun Ran's work include Geophysics and Gravity Measurements (32 papers), Geomagnetism and Paleomagnetism Studies (11 papers) and Geophysical and Geoelectrical Methods (10 papers). Jiangjun Ran is often cited by papers focused on Geophysics and Gravity Measurements (32 papers), Geomagnetism and Paleomagnetism Studies (11 papers) and Geophysical and Geoelectrical Methods (10 papers). Jiangjun Ran collaborates with scholars based in China, Netherlands and United States. Jiangjun Ran's co-authors include R. Klees, P. Ditmar, Natthachet Tangdamrongsub, Xiaoyun Wan, H. Hashemi Farahani, Siyuan Tian, Wei Feng, Lin Liu, Shoaib Ali and Shuanggen Jin and has published in prestigious journals such as Nature, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Jiangjun Ran

35 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiangjun Ran China	13	353	99	99	98	94	40	473
Julia Pfeffer France	13	504 1.4×	191 1.9×	115 1.2×	138 1.4×	78 0.8×	28	610
Lulu Jia China	7	365 1.0×	189 1.9×	93 0.9×	83 0.8×	143 1.5×	21	529
Longwei Xiang China	9	399 1.1×	197 2.0×	98 1.0×	95 1.0×	163 1.7×	23	556
Shengnan Ni China	6	305 0.9×	131 1.3×	87 0.9×	117 1.2×	27 0.3×	9	400
A. A. Cazenave France	10	333 0.9×	90 0.9×	89 0.9×	204 2.1×	77 0.8×	15	523
Zhengtao Wang China	7	224 0.6×	87 0.9×	53 0.5×	121 1.2×	40 0.4×	24	325
J. Wünsch Germany	7	305 0.9×	91 0.9×	132 1.3×	91 0.9×	60 0.6×	10	378
Nooshin Mehrnegar Denmark	8	248 0.7×	89 0.9×	56 0.6×	189 1.9×	37 0.4×	9	396
Makan A. Karegar United States	12	224 0.6×	138 1.4×	47 0.5×	85 0.9×	100 1.1×	21	413

Countries citing papers authored by Jiangjun Ran

Since Specialization

Citations

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

Fields of papers citing papers by Jiangjun Ran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangjun Ran

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

All Works

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20 of 20 papers shown

Wang, Jun, et al.. (2025). Minority Support Defeats Majority Opposition? Equity Balance and Strategic Attention in Chinese SOEs. Academy of Management Proceedings. 2025(1).

Ran, Jiangjun & Haibin Yan. (2025). Interactive shape estimation for densely cluttered objects. Pattern Recognition Letters. 191. 8–14.

Wang, Teng, et al.. (2025). Weak asthenosphere beneath the Eurasian interior inferred from Aral Sea desiccation. Nature Geoscience. 18(4). 351–357.

Yan, Zhengwen, et al.. (2025). GCL-Mascon2024: a novel satellite gravimetry mascon solution using the short-arc approach. Earth system science data. 17(9). 4253–4275.

Ran, Jiangjun, P. Ditmar, M. R. van den Broeke, et al.. (2024). Vertical bedrock shifts reveal summer water storage in Greenland ice sheet. Nature. 635(8037). 108–113. 14 indexed citations

Ali, Shoaib, Jiangjun Ran, Behnam Khorrami, et al.. (2024). Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning. Groundwater for Sustainable Development. 25. 101100–101100. 21 indexed citations

Yang, Hongfeng, et al.. (2023). Seasonal Variations of Seismic Travel-Time Changes in Binchuan, Southwestern China, Inferred from Large Volume Air-Gun Source Array Data. Seismological Research Letters. 3 indexed citations

Ran, Jiangjun, Lin Liu, Guoqing Zhang, et al.. (2023). Contrasting lake changes in Tibet revealed by recent multi-modal satellite observations. The Science of The Total Environment. 908. 168342–168342. 5 indexed citations

Yan, Zhengwen, et al.. (2023). The Temporal Improvement of Earth's Mass Transport Estimated by Coupling GRACE‐FO With a Chinese Polar Gravity Satellite Mission. Journal of Geophysical Research Solid Earth. 128(9). 7 indexed citations

10.

Shen, Wenbin, et al.. (2022). First-Order Derivatives of Principal and Main Invariants of Magnetic Gradient Tensor of a Uniformly Magnetized Tesseroid and Spherical Shell. Surveys in Geophysics. 43(4). 1233–1262. 5 indexed citations

11.

Wan, Xiaoyun, et al.. (2021). Analysis of limitations on recovery of gravity field based on satellite gravity gradient data. Geodesy and Geodynamics. 12(1). 31–42. 6 indexed citations

12.

Cai, Lin, Xiaoyun Wan, Houtse Hsu, et al.. (2021). The earth’s gravity field recovery using the third invariant of the gravity gradient tensor from GOCE. Scientific Reports. 11(1). 3581–3581. 4 indexed citations

13.

Tian, Siyuan, et al.. (2020). Spatio-Temporal Evaluation of Water Storage Trends from Hydrological Models over Australia Using GRACE Mascon Solutions. Remote Sensing. 12(21). 3578–3578. 29 indexed citations

14.

Ran, Jiangjun, Natthachet Tangdamrongsub, & Xiaoyun Wan. (2020). The impact of error covariance matrix structure of GRACE’s gravity solution on the mass flux estimates of Greenland ice sheet. Advances in Space Research. 67(1). 163–178. 4 indexed citations

15.

Groh, Andreas, Martin Horwath, Rakia Meister, et al.. (2019). Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results. Geosciences. 9(10). 415–415. 33 indexed citations

16.

Li, Fei, et al.. (2019). Space‐Time Evolution of Greenland Ice Sheet Elevation and Mass From Envisat and GRACE Data. Journal of Geophysical Research Earth Surface. 124(8). 2079–2100. 9 indexed citations

17.

Ran, Jiangjun, Miren Vizcaíno, P. Ditmar, et al.. (2018). Seasonal mass variations show timing and magnitude of meltwater storage in the Greenland Ice Sheet. The cryosphere. 12(9). 2981–2999. 19 indexed citations

18.

Ran, Jiangjun. (2017). Analysis of mass variations in Greenland by a novel variant of the mascon approach. Research Repository (Delft University of Technology). 6 indexed citations

19.

Ran, Jiangjun, P. Ditmar, R. Klees, & H. Hashemi Farahani. (2017). Statistically optimal estimation of Greenland Ice Sheet mass variations from GRACE monthly solutions using an improved mascon approach. Journal of Geodesy. 92(3). 299–319. 54 indexed citations

20.

Ditmar, P., et al.. (2013). Delft Mass Transport model DMT-2. EGU General Assembly Conference Abstracts. 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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