Zhenong Jin

4.9k citations
70 papers · 2.8k indexed · 5 hit papers · h-index 30
Topics
Remote Sensing in Agriculture (24 papers)Climate change impacts on agriculture (24 papers)Plant Water Relations and Carbon Dynamics (12 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Zhenong Jin

64 papers receiving 2.8k citations

Hit Papers

Smallholder maize area and yield mapping at national scal...20192026202120232019201920212022202450100150200250

Peers

Zhenong Jin
Comparison fields: 5 of 121
  • Ecology 1.1k
  • Plant Science 1.1k
  • Global and Planetary Change 949
  • Ecology, Evolution, Behavior and Systematics 648
  • Soil Science 450
Replace Bin Peng with:
Bin Peng United States
Kathleen Neumann Netherlands
Andries Potgieter Australia
Claas Nendel Germany
Xiaojun Liu China
Anne Gobin Belgium
Allard de Wit Netherlands
Paulo Eduardo Teodoro Brazil
Xingang Xu China
Bangyou Zheng Australia
Zhenong Jin relative to Bin Peng United States Bin Peng's profile →
Citations per field
00.5×
Bin Peng · 1×
Citations per year

Countries citing papers authored by Zhenong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zhenong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenong Jin. A scholar is included among the top collaborators of Zhenong Jin 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 Zhenong Jin. Zhenong Jin 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
#WorkIndexed citations
1 4
2 3
3 2
4 0
5 1
6 0
7 3
8 12
9
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystemsbreakdown →
60
10 2
11 17
12 59
13 34
14 24
15 46
16 4
17 37
18 2
19
Uniting Advances in Remote Sensing, Crop Modeling, & Economics for Understanding and Managing Weather Risk in Agriculture
1
20 52

About Zhenong Jin

Zhenong Jin is a scholar working on Soil Science, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics, having authored 70 papers that have together received 2.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (24 papers), Climate change impacts on agriculture (24 papers) and Plant Water Relations and Carbon Dynamics (12 papers). The work is most often cited by research in Soil Science (450 citations), Global and Planetary Change (949 citations) and Ecology (1.1k citations). Zhenong Jin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David B. Lobell, George Azzari, Qianlai Zhuang, Marshall Burke, Andrew D. B. Leakey, Stefania Di Tommaso, Kaiyu Guan, Jin He, Sotirios V. Archontoulis and Charles P. Pignon. Their work appears in journals such as Nature Communications, Remote Sensing of 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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