Cong Jiang

720 total citations
9 papers, 593 citations indexed

About

Cong Jiang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Cong Jiang has authored 9 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in Cong Jiang's work include Hydrology and Watershed Management Studies (8 papers), Hydrology and Drought Analysis (7 papers) and Climate variability and models (3 papers). Cong Jiang is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Hydrology and Drought Analysis (7 papers) and Climate variability and models (3 papers). Cong Jiang collaborates with scholars based in China, Norway and United States. Cong Jiang's co-authors include Lihua Xiong, Chong‐Yu Xu, Shenglian Guo, Dingbao Wang, Pan Liu, Tao Du, Kunxia Yu, Christopher J. Gippel, Jun Xia and Lei Yan and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

Cong Jiang

9 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cong Jiang China	7	515	485	84	80	55	9	593
K. Harvey Australia	3	458 0.9×	383 0.8×	214 2.5×	86 1.1×	27 0.5×	5	612
Marcus Buechel United Kingdom	7	302 0.6×	251 0.5×	78 0.9×	144 1.8×	17 0.3×	12	396
D. A. Post Australia	7	387 0.8×	368 0.8×	90 1.1×	76 0.9×	33 0.6×	11	469
Deogratias M. M. Mulungu Tanzania	13	259 0.5×	264 0.5×	75 0.9×	111 1.4×	67 1.2×	37	401
S. M. Crooks United Kingdom	14	529 1.0×	492 1.0×	85 1.0×	62 0.8×	36 0.7×	20	607
J. E. Paturel France	13	304 0.6×	308 0.6×	41 0.5×	85 1.1×	68 1.2×	27	433
Dereje H. Asfaw Ethiopia	12	249 0.5×	239 0.5×	89 1.1×	78 1.0×	61 1.1×	12	359
Thomas Nester Austria	7	448 0.9×	361 0.7×	139 1.7×	60 0.8×	20 0.4×	10	534
Evison Kapangaziwiri South Africa	11	291 0.6×	257 0.5×	46 0.5×	67 0.8×	59 1.1×	32	377
Matthieu Le Lay France	11	362 0.7×	399 0.8×	105 1.3×	109 1.4×	17 0.3×	24	464

Countries citing papers authored by Cong Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Cong Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Zhang, Xudong, Cong Jiang, Junzhe Huang, et al.. (2024). Quantitative Attribution of the Surface Area Reduction of Poyang Lake over the Last Two Decades. Journal of Water Resources Planning and Management. 150(11). 1 indexed citations

Jiang, Cong, et al.. (2023). Nonstationary Hydrological Distribution Estimation Using Hierarchical Model with Stochastic Covariates. Journal of Hydrologic Engineering. 28(4). 3 indexed citations

Jiang, Cong, Lihua Xiong, Chong‐Yu Xu, & Lei Yan. (2021). A River Network‐Based Hierarchical Model for Deriving Flood Frequency Distributions and Its Application to the Upper Yangtze Basin. Water Resources Research. 57(8). 20 indexed citations

Jiang, Cong, Lihua Xiong, Shenglian Guo, Jun Xia, & Chong‐Yu Xu. (2017). A process‐based insight into nonstationarity of the probability distribution of annual runoff. Water Resources Research. 53(5). 4214–4235. 23 indexed citations

Jiang, Cong, Lihua Xiong, Dingbao Wang, et al.. (2015). Separating the impacts of climate change and human activities on runoff using the Budyko-type equations with time-varying parameters. Journal of Hydrology. 522. 326–338. 279 indexed citations

Xiong, Lihua, Cong Jiang, Chong‐Yu Xu, Kunxia Yu, & Shenglian Guo. (2015). A framework of change‐point detection for multivariate hydrological series. Water Resources Research. 51(10). 8198–8217. 63 indexed citations

Xiong, Lihua, Tao Du, Chong‐Yu Xu, et al.. (2015). Non-Stationary Annual Maximum Flood Frequency Analysis Using the Norming Constants Method to Consider Non-Stationarity in the Annual Daily Flow Series. Water Resources Management. 29(10). 3615–3633. 50 indexed citations

Xiong, Lihua, Cong Jiang, & Tao Du. (2014). Statistical attribution analysis of the nonstationarity of the annual runoff series of the Weihe River. Water Science & Technology. 70(5). 939–946. 29 indexed citations

Jiang, Cong, Lihua Xiong, Chong‐Yu Xu, & Shenglian Guo. (2014). Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula. Hydrological Processes. 29(6). 1521–1534. 125 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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