Kwok Pan Chun

5.4k total citations · 1 hit paper
92 papers, 3.8k citations indexed

About

Kwok Pan Chun is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Kwok Pan Chun has authored 92 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 32 papers in Water Science and Technology and 29 papers in Atmospheric Science. Recurrent topics in Kwok Pan Chun's work include Hydrology and Watershed Management Studies (28 papers), Climate variability and models (25 papers) and Plant Water Relations and Carbon Dynamics (14 papers). Kwok Pan Chun is often cited by papers focused on Hydrology and Watershed Management Studies (28 papers), Climate variability and models (25 papers) and Plant Water Relations and Carbon Dynamics (14 papers). Kwok Pan Chun collaborates with scholars based in Hong Kong, Canada and United Kingdom. Kwok Pan Chun's co-authors include Christian Onof, H. S. Wheater, Andrew Ireson, Matthias Themeßl, Richard E. Chandler, Elizabeth Kendon, Henning W. Rust, Richard Jones, Insa Thiele-Eich and C. M. Goodess and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Kwok Pan Chun

90 papers receiving 3.7k citations

Hit Papers

Precipitation downscaling... 2010 2026 2015 2020 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwok Pan Chun Hong Kong 29 2.2k 1.4k 1.1k 424 406 92 3.8k
Chris Weaver United States 28 2.1k 1.0× 1.2k 0.9× 717 0.6× 916 2.2× 336 0.8× 68 3.5k
Adrian McDonald New Zealand 33 1.4k 0.6× 1.5k 1.1× 485 0.4× 420 1.0× 534 1.3× 168 3.5k
C. Adam Schlosser United States 32 2.8k 1.3× 2.0k 1.4× 1.0k 0.9× 1.3k 3.1× 365 0.9× 85 5.0k
Zhenghong Tang United States 35 2.2k 1.0× 675 0.5× 685 0.6× 666 1.6× 1.3k 3.3× 173 4.3k
Mou Leong Tan Malaysia 38 2.6k 1.2× 1.6k 1.1× 1.9k 1.7× 1.2k 2.8× 364 0.9× 203 4.7k
Siao Sun China 29 1.7k 0.8× 433 0.3× 1.3k 1.1× 1.0k 2.4× 374 0.9× 85 4.2k
Weili Duan China 34 1.9k 0.9× 832 0.6× 1.7k 1.5× 768 1.8× 410 1.0× 142 3.7k
Daniel Nover United States 35 1.5k 0.7× 568 0.4× 1.7k 1.5× 645 1.5× 510 1.3× 75 3.7k
Ji Chen Hong Kong 28 1.4k 0.6× 412 0.3× 1.3k 1.1× 699 1.6× 265 0.7× 75 2.6k
Chengguang Lai China 33 3.1k 1.4× 1.3k 0.9× 1.5k 1.3× 958 2.3× 391 1.0× 89 4.1k

Countries citing papers authored by Kwok Pan Chun

Since Specialization
Citations

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

Fields of papers citing papers by Kwok Pan Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwok Pan Chun. 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 Kwok Pan Chun. The network helps show where Kwok Pan Chun may publish in the future.

Co-authorship network of co-authors of Kwok Pan Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Kwok Pan Chun. A scholar is included among the top collaborators of Kwok Pan Chun 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 Kwok Pan Chun. Kwok Pan Chun 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.
Tyralis, Hristos, et al.. (2025). Deep Huber quantile regression networks. Neural Networks. 187. 107364–107364.
2.
Chun, Kwok Pan, et al.. (2024). Towards sustainability balance in water-food-land nexus global development. Environmental Science & Policy. 163. 103964–103964.
4.
Huang, Yanan, Jaivime Evaristo, Zhi Li, et al.. (2024). The nature and extent of bomb tritium remaining in deep vadose zone: A synthesis and prognosis. Vadose Zone Journal. 23(4). 2 indexed citations
5.
Zhao, Ying, Li Wang, Kwok Pan Chun, Alan D. Ziegler, & Jaivime Evaristo. (2024). Dynamic hydrological niche segregation: How plants compete for water in a semi-arid ecosystem. Journal of Hydrology. 630. 130677–130677. 15 indexed citations
7.
Tan, Mou Leong, et al.. (2023). Evaluating the effectiveness of CHIRPS data for hydroclimatic studies. Theoretical and Applied Climatology. 155(3). 1519–1539. 42 indexed citations
8.
Schoppach, Rémy, Kwok Pan Chun, & Julian Klaus. (2023). Allometric relations between DBH and sapwood area for predicting stand transpiration: lessons learned from the Quercus genus. European Journal of Forest Research. 142(4). 797–809. 2 indexed citations
9.
Srivastava, Ankur, Ömer Yetemen, Patricia Saco, et al.. (2022). Influence of orographic precipitation on coevolving landforms and vegetation in semi‐arid ecosystems. Earth Surface Processes and Landforms. 47(12). 2846–2862. 25 indexed citations
10.
Deanna, Rocío, Kwok Pan Chun, Deborah Navarro-Rosenblatt, et al.. (2022). Community voices: the importance of diverse networks in academic mentoring. Nature Communications. 13(1). 1681–1681. 23 indexed citations
11.
Chun, Kwok Pan, et al.. (2022). Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China). Theoretical and Applied Climatology. 150(1-2). 283–307. 7 indexed citations
12.
13.
He, Qing, Kwok Pan Chun, Mou Leong Tan, et al.. (2021). Tropical drought patterns and their linkages to large‐scale climate variability over Peninsular Malaysia. Hydrological Processes. 35(9). 14 indexed citations
14.
Dieppois, Bastien, Antonietta Capotondi, Benjamin Pohl, et al.. (2021). ENSO diversity shows robust decadal variations that must be captured for accurate future projections. Communications Earth & Environment. 2(1). 38 indexed citations
15.
Kumari, Nikul, Patricia Saco, José F. Rodríguez, et al.. (2020). The Grass Is Not Always Greener on the Other Side: Seasonal Reversal of Vegetation Greenness in Aspect‐Driven Semiarid Ecosystems. Geophysical Research Letters. 47(15). 74 indexed citations
16.
Srivastava, Ankur, Patricia Saco, José F. Rodríguez, et al.. (2020). The role of landscape morphology on soil moisture variability in semi‐arid ecosystems. Hydrological Processes. 35(1). 55 indexed citations
17.
Li, Guozhong, Byron Choi, Jianliang Xu, et al.. (2020). Efficient Shapelet Discovery for Time Series Classification. IEEE Transactions on Knowledge and Data Engineering. 34(3). 1149–1163. 46 indexed citations
18.
Morales-Marín, L. A., et al.. (2016). Trend analysis of nutrient loadings in a large prairie catchment. Hydrological Sciences Journal. 62(4). 657–679. 5 indexed citations
19.
Evaristo, Jaivime, Jeffrey J. McDonnell, M. A. Scholl, L. A. Bruijnzeel, & Kwok Pan Chun. (2016). Insights into plant water uptake from xylem‐water isotope measurements in two tropical catchments with contrasting moisture conditions. Hydrological Processes. 30(18). 3210–3227. 120 indexed citations
20.
DeBeer, C. M., H. S. Wheater, Sean K. Carey, & Kwok Pan Chun. (2015). Recent climatic, cryospheric, and hydrological changes over the interior of western Canada: a synthesis and review. 4 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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