Kefeng Zheng

552 total citations
20 papers, 422 citations indexed

About

Kefeng Zheng is a scholar working on Plant Science, Ecology and Water Science and Technology. According to data from OpenAlex, Kefeng Zheng has authored 20 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Ecology and 5 papers in Water Science and Technology. Recurrent topics in Kefeng Zheng's work include Remote Sensing in Agriculture (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Water Quality and Pollution Assessment (4 papers). Kefeng Zheng is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Water Quality and Pollution Assessment (4 papers). Kefeng Zheng collaborates with scholars based in China, Bulgaria and United States. Kefeng Zheng's co-authors include Hao Hu, Qing Gu, Li Sheng, Ligang Ma, Xiaobin Zhang, Lisu Chen, Minghua Zhang, Xiaobin Zhang, Hongkui Zhou and Yuwen Lu and has published in prestigious journals such as Journal of Hazardous Materials, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Kefeng Zheng

20 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kefeng Zheng China 10 149 140 102 87 73 20 422
Joby M. Prince Czarnecki United States 13 126 0.8× 109 0.8× 115 1.1× 18 0.2× 68 0.9× 43 424
Héctor Flores-Magdaleno Mexico 9 166 1.1× 48 0.3× 161 1.6× 35 0.4× 66 0.9× 51 354
Niranjan Panigrahi India 12 150 1.0× 60 0.4× 75 0.7× 66 0.8× 138 1.9× 18 414
Quanquan Wei China 9 181 1.2× 36 0.3× 148 1.5× 89 1.0× 40 0.5× 26 409
Ana Carolina Torregroza-Espinosa Colombia 13 96 0.6× 106 0.8× 58 0.6× 9 0.1× 32 0.4× 39 436
Xiaofang Wang China 14 144 1.0× 53 0.4× 65 0.6× 14 0.2× 41 0.6× 26 456
Xing Shen China 7 129 0.9× 63 0.5× 65 0.6× 26 0.3× 27 0.4× 18 520
Guangyu Chi China 13 182 1.2× 29 0.2× 90 0.9× 45 0.5× 33 0.5× 34 471
Ya Zhou China 5 76 0.5× 37 0.3× 89 0.9× 42 0.5× 23 0.3× 11 411
Qiu China 13 155 1.0× 47 0.3× 53 0.5× 23 0.3× 71 1.0× 67 484

Countries citing papers authored by Kefeng Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Kefeng Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kefeng Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Kefeng Zheng. A scholar is included among the top collaborators of Kefeng Zheng 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 Kefeng Zheng. Kefeng Zheng 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.
Zhang, Yu, et al.. (2025). AutoTurb: Using large language models for automatic algebraic turbulence model discovery. Physics of Fluids. 37(1). 4 indexed citations
2.
Zhang, Xiaobin, Ligang Ma, Li Sheng, et al.. (2022). Temporal Stability Analysis for the Evaluation of Spatial and Temporal Patterns of Surface Water Quality. Water Resources Management. 36(4). 1413–1429. 6 indexed citations
3.
Chen, Miaojin, Qing Gu, Yiying Zhao, et al.. (2022). Machine learning methods for efficient and automated in situ monitoring of peach flowering phenology. Computers and Electronics in Agriculture. 202. 107370–107370. 9 indexed citations
4.
Zhang, Xiaobin, et al.. (2021). Quantitative extraction and analysis of pear fruit spot phenotypes based on image recognition. Computers and Electronics in Agriculture. 190. 106474–106474. 9 indexed citations
5.
Gu, Qing, Li Sheng, Tianhao Zhang, et al.. (2019). Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms. Computers and Electronics in Agriculture. 167. 105066–105066. 75 indexed citations
6.
Gu, Qing, Hao Hu, Ligang Ma, et al.. (2019). Characterizing the spatial variations of the relationship between land use and surface water quality using self-organizing map approach. Ecological Indicators. 102. 633–643. 100 indexed citations
7.
Hu, Hao, et al.. (2018). Influence of bacterial leaf blight on the photosynthetic characteristics of resistant and susceptible rice. Journal of Phytopathology. 166(7-8). 547–554. 12 indexed citations
8.
Gu, Qing, Yao Zhang, Ligang Ma, et al.. (2016). Assessment of Reservoir Water Quality Using Multivariate Statistical Techniques: A Case Study of Qiandao Lake, China. Sustainability. 8(3). 243–243. 40 indexed citations
9.
Gu, Qing, Ke Wang, Jiadan Li, et al.. (2015). Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs. International Journal of Environmental Research and Public Health. 12(10). 13179–13194. 6 indexed citations
10.
Hu, Hao, et al.. (2014). Modeling Leaf Image, Chlorophyll Fluorescence, Reflectance From SPAD Readings. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(11). 4368–4373. 10 indexed citations
11.
Zhang, Hao, Hao Hu, Xiaobin Zhang, et al.. (2011). Estimation of rice neck blasts severity using spectral reflectance based on BP-neural network. Acta Physiologiae Plantarum. 33(6). 2461–2466. 32 indexed citations
12.
Zhang, Hao, Lianfeng Zhu, Hao Hu, Kefeng Zheng, & Qianyu Jin. (2011). Monitoring Leaf Chlorophyll Fluorescence with Spectral Reflectance in Rice (Oryza sativa L.). Procedia Engineering. 15. 4403–4408. 16 indexed citations
13.
Jin, Qianyu, et al.. (2010). Monitoring Rice Leaves Blast Severity with Hyperspectral Reflectance. 14. 1–4. 1 indexed citations
14.
Zhang, Hao, Zhu‐Xia Shen, Genxu Wang, et al.. (2010). Sensitivity to Abscisic Acid Modulates Positive Interactions between Arabidopsis thaliana Individuals. Journal of Integrative Plant Biology. 52(3). 340–346. 4 indexed citations
15.
Zhang, Hao, et al.. (2010). Mass–density relationship changes along salinity gradient in Suaeda salsa L.. Acta Physiologiae Plantarum. 32(6). 1031–1037. 12 indexed citations
17.
Zhang, Zhen, et al.. (2009). Hyperspectral remote sensing retriveral models of rice neck blasts severity.. Nongye xiandaihua yanjiu. 30(3). 369–372. 1 indexed citations
18.
Zhang, Hao, et al.. (2009). The effect of sensitivity to abscisic acid on stomatal behaviour in Arabidopsis thaliana. Eurasian Journal of Biosciences. 10–16. 1 indexed citations
19.
Zhang, Hao, et al.. (2007). Plants interactions between Suaeda salsa individuals are mediated by salinity stress. Acta Physiologiae Plantarum. 30(1). 99–104. 5 indexed citations
20.
Wen, Yuezhong, et al.. (2006). Removal of terephthalic acid in alkalized wastewater by ferric chloride. Journal of Hazardous Materials. 138(1). 169–172. 45 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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