Kun� Shi

212 papers receiving 8.4k citations

Kun� Shi's Hit Papers

Environmental controls on the conversion of nutrients to chlorophyll in lakes 2025 · 29 citations
290+3+6Years since publication100200300

Peers

Kun� Shi
Comparison fields: 5 of 145
  • Oceanography 5.3k
  • Environmental Chemistry 3.9k
  • Water Science and Technology 3.0k
  • Industrial and Manufacturing Engineering 1.8k
  • Ecology 2.3k
Replace Richard P. Stumpf with:
Richard P. Stumpf United States
Yongqiang Zhou China
Tiit Kutser Estonia
Lian Feng China
Kaishan Song China
Guangwei Zhu China
Yunlin Zhang China
Patrick L. Brezonik United States
Yunmei Li China
Nima Pahlevan United States
Kun� Shi relative to Richard P. Stumpf United States Richard P. Stumpf's profile →
Citations per field
00.5×1.5×1.9×
Richard P. Stumpf · 1×
Citations per year

Countries citing papers authored by Kun� Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kun� Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun� Shi. 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 Kun� Shi. The network helps show where Kun� Shi may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun� Shi, 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 Kun� Shi Line = papers co-authored together Kun� Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 222 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Why Lake Taihu continues to be plagued with cyanobacterial blooms through 10 years (2007–2017) efforts
Hit paper breakdown →
2019340
2
Global loss of aquatic vegetation in lakes
Hit paper breakdown →
2017328
3 2015235
4 2015232
5 2016216
6 2017195
7 2016176
8 2017168
9 2017163
10 2019146
11 2014144
12 2019133
13 2021133
14 2016131
15 2021129
16 2015128
17 2020126
18 2015122
19 2018122
20 2014119

About Kun� Shi

Kun� Shi is a scholar working on Oceanography, Environmental Chemistry, Water Science and Technology, Industrial and Manufacturing Engineering and Ecology, having authored 222 papers that have together received 8.8k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (146 papers), Aquatic Ecosystems and Phytoplankton Dynamics (88 papers), Water Quality Monitoring and Analysis (54 papers), Water Quality Monitoring Technologies (33 papers), Water Quality and Pollution Assessment (23 papers), Fish Ecology and Management Studies (20 papers), Microbial Community Ecology and Physiology (17 papers) and Hydrology and Watershed Management Studies (11 papers). The work is most often cited by research in Oceanography (5.3k citations), Environmental Chemistry (3.9k citations), Water Science and Technology (3.0k citations), Industrial and Manufacturing Engineering (1.8k citations) and Ecology (2.3k citations). Kun� Shi has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yunlin Zhang, Boqiang Qin, Yongqiang Zhou, Xiaohan Liu, Guangwei Zhu, Erik Jeppesen, Yibo Zhang, Mingliang Liu, Yunmei Li and Guangwei Zhu. Their work appears in journals such as The Science of The Total Environment, Water Research, Remote Sensing of Environment, Remote Sensing and Environmental Science and Pollution Research.

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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