Qin Ju

94 total papers · 1.4k total citations
60 papers, 1.1k citations indexed

About

Qin Ju is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Qin Ju has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Water Science and Technology, 30 papers in Global and Planetary Change and 29 papers in Atmospheric Science. Recurrent topics in Qin Ju's work include Hydrology and Watershed Management Studies (26 papers), Climate variability and models (18 papers) and Cryospheric studies and observations (18 papers). Qin Ju is often cited by papers focused on Hydrology and Watershed Management Studies (26 papers), Climate variability and models (18 papers) and Cryospheric studies and observations (18 papers). Qin Ju collaborates with scholars based in China, United States and Saudi Arabia. Qin Ju's co-authors include Zhongbo Yu, Huanghe Gu, Chuanguo Yang, Zhenchun Hao, Gengxin Ou, Jigan Wang, Guiling Wang, Tao Yang, Kumud Acharya and Ke Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Qin Ju

58 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qin Ju 628 486 417 256 64 60 1.1k
Ashutosh Limaye 562 0.9× 379 0.8× 576 1.4× 305 1.2× 80 1.3× 54 1.0k
A. Ünal Şorman 621 1.0× 541 1.1× 514 1.2× 346 1.4× 79 1.2× 48 1.2k
Jianduo Li 689 1.1× 322 0.7× 550 1.3× 310 1.2× 74 1.2× 40 1.1k
Khalil Ur Rahman 633 1.0× 426 0.9× 288 0.7× 313 1.2× 79 1.2× 67 1.2k
Jongjin Baik 736 1.2× 408 0.8× 480 1.2× 381 1.5× 78 1.2× 42 1.1k
Haijun Yu 723 1.2× 329 0.7× 364 0.9× 228 0.9× 84 1.3× 38 1.0k
Francisco Muñoz‐Arriola 701 1.1× 515 1.1× 364 0.9× 271 1.1× 127 2.0× 51 1.2k
Giovanna Grossi 582 0.9× 443 0.9× 408 1.0× 283 1.1× 68 1.1× 51 992
Kristie J. Franz 617 1.0× 776 1.6× 460 1.1× 313 1.2× 86 1.3× 48 1.1k
Meihong Ma 740 1.2× 346 0.7× 325 0.8× 277 1.1× 84 1.3× 42 1.1k

Countries citing papers authored by Qin Ju

Since Specialization
Citations

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

Fields of papers citing papers by Qin Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Ju

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

All Works

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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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