Jun Niu

2.3k citations
71 papers · 1.9k · h-index 28

Impact in

Papers in

Jun Niu

70 papers receiving 1.9k citations

Peers

Jun Niu
Comparison fields: 5 of 90
  • Water Science and Technology 970
  • Global and Planetary Change 1.1k
  • Environmental Engineering 418
  • Soil Science 273
  • Ocean Engineering 233
Replace Muhammad Jehanzeb Masud Cheema with:
Muhammad Jehanzeb Masud Cheema Pakistan
Songhao Shang China
Naresh Devineni United States
Tianling Qin China
Zailin Huo China
Xuezhi Tan China
G. P. Obi Reddy India
Nana Yan China
Vincent Simonneaux France
Ian Cordery Australia
Jun Niu relative to Muhammad Jehanzeb Masud Cheema Pakistan Muhammad Jehanzeb Masud Cheema's profile →
Citations per field
00.5×1.5×1.8×
Muhammad Jehanzeb Masud Cheema · 1×
Citations per year

Countries citing papers authored by Jun Niu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Niu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Niu Line = papers co-authored together Jun Niu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017104
2 201888
3 201482
4 201870
5 201270
6 199765
7 202063
8 201661
9 201756
10 201855
11 201653
12 202246
13 201445
14 201944
15 201844
16 201944
17 201042
18 202241
19 201041
20 200637

About Jun Niu

Jun Niu is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Ocean Engineering and Soil Science, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (32 papers), Climate variability and models (25 papers), Plant Water Relations and Carbon Dynamics (22 papers), Hydrology and Drought Analysis (19 papers), Water resources management and optimization (13 papers), Irrigation Practices and Water Management (9 papers), Hydrological Forecasting Using AI (7 papers) and Climate change impacts on agriculture (7 papers). The work is most often cited by research in Water Science and Technology (970 citations), Global and Planetary Change (1.1k citations), Environmental Engineering (418 citations), Soil Science (273 citations) and Ocean Engineering (233 citations). Jun Niu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shaozhong Kang, Bellie Sivakumar, Ji Chen, Taisheng Du, Liqun Sun, Hongna Lu, Ji Chen, Risheng Ding, Sien Li and Keyi Wang. Their work appears in journals such as Journal of Hydrology, Stochastic Environmental Research and Risk Assessment, Agricultural Water Management, The Science of The Total Environment and Scientific Reports.

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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