Ku Wang

766 total citations
29 papers, 599 citations indexed

About

Ku Wang is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Ku Wang has authored 29 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 6 papers in Environmental Engineering and 6 papers in Plant Science. Recurrent topics in Ku Wang's work include Remote Sensing in Agriculture (6 papers), Image and Object Detection Techniques (5 papers) and Soil Geostatistics and Mapping (5 papers). Ku Wang is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Image and Object Detection Techniques (5 papers) and Soil Geostatistics and Mapping (5 papers). Ku Wang collaborates with scholars based in China, United States and Taiwan. Ku Wang's co-authors include Weidong Li, Chuanrong Zhang, Won Suk Lee, Han Li, Han Li, Haiying Tao, Jie Zhu, Shaofei Jin, Ying Yang and Reza Ehsani and has published in prestigious journals such as Journal of Cleaner Production, Ecological Indicators and Computers and Electronics in Agriculture.

In The Last Decade

Ku Wang

28 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ku Wang China	13	207	182	134	112	94	29	599
Manuel Sánchez de la Orden Spain	9	300 1.4×	174 1.0×	301 2.2×	94 0.8×	41 0.4×	21	704
Osmar Luiz Ferreira de Carvalho Brazil	14	149 0.7×	125 0.7×	214 1.6×	42 0.4×	34 0.4×	29	570
Sungchan Oh United States	13	187 0.9×	211 1.2×	224 1.7×	34 0.3×	44 0.5×	33	575
Lanfa Liu China	12	170 0.8×	53 0.3×	125 0.9×	99 0.9×	73 0.8×	27	682
Anesmar Olino de Albuquerque Brazil	11	134 0.6×	102 0.6×	178 1.3×	41 0.4×	30 0.3×	18	470
A. Gad Egypt	12	213 1.0×	165 0.9×	137 1.0×	135 1.2×	34 0.4×	30	717
Pradeep Goel Canada	16	226 1.1×	169 0.9×	231 1.7×	221 2.0×	96 1.0×	72	956
Mladen Jurišić Croatia	15	256 1.2×	287 1.6×	265 2.0×	127 1.1×	44 0.5×	103	828
Dorijan Radočaj Croatia	16	267 1.3×	337 1.9×	320 2.4×	120 1.1×	55 0.6×	71	892
Sakae Shibusawa Japan	14	290 1.4×	345 1.9×	87 0.6×	180 1.6×	139 1.5×	118	829

Countries citing papers authored by Ku Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ku Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ku Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ku Wang. A scholar is included among the top collaborators of Ku Wang 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 Ku Wang. Ku Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jin, Shaofei, et al.. (2024). Machine learning and genetic algorithm for mapping soil available phosphorus in coastal provinces in Southeast China. Ecological Indicators. 166. 112294–112294. 4 indexed citations

Wang, Tiantian, Shaofei Jin, & Ku Wang. (2024). Analysis of the Temporal and Spatial Development of Cold Waves in Fujian Province over the Last 58 Years. Journal of Physics Conference Series. 2706(1). 12071–12071. 1 indexed citations

Li, Deng‐Yuan, Jun Wang, Jie Zeng, et al.. (2023). Identification and Validation of Genes Exhibiting Dynamic Alterations in Response to Bleomycin-Induced Pulmonary Fibrosis. Molecular Biotechnology. 66(11). 3323–3335. 2 indexed citations

Wang, Ku, et al.. (2022). Mapping of Soil pH Based on SVM-RFE Feature Selection Algorithm. Agronomy. 12(11). 2742–2742. 22 indexed citations

Yang, Ying, et al.. (2021). Intelligent reading recognition method of a pointer meter based on deep learning in a real environment. Measurement Science and Technology. 33(5). 55021–55021. 31 indexed citations

Liu, Danping, Yifei Chen, Hesong Wang, et al.. (2021). Changes in the stoichiometry of Castanopsis fargesii along an elevation gradient in a Chinese subtropical forest. PeerJ. 9. e11553–e11553. 4 indexed citations

Wang, Ku, et al.. (2020). Economic analysis of residential solar photovoltaic systems in China. Journal of Cleaner Production. 282. 125297–125297. 32 indexed citations

Tao, Haiying, William L. Pan, Paul Carter, & Ku Wang. (2019). Addition of lignin to lime materials for expedited pH increase and improved vertical mobility of lime in no‐till soils. Soil Use and Management. 35(2). 314–322. 16 indexed citations

Li, Han, Won Suk Lee, & Ku Wang. (2016). Immature green citrus fruit detection and counting based on fast normalized cross correlation (FNCC) using natural outdoor colour images. Precision Agriculture. 17(6). 678–697. 54 indexed citations

10.

Li, Han, et al.. (2014). An Advanced Automatic Remote Meter Detection Method Based on Machine Vision. Applied Mechanics and Materials. 568-570. 994–1000.

11.

Li, Han, Won Suk Lee, & Ku Wang. (2014). Identifying blueberry fruit of different growth stages using natural outdoor color images. Computers and Electronics in Agriculture. 106. 91–101. 73 indexed citations

12.

Li, Han, et al.. (2013). ‘Extended spectral angle mapping (ESAM)’ for citrus greening disease detection using airborne hyperspectral imaging. Precision Agriculture. 15(2). 162–183. 53 indexed citations

13.

Li, Han, Won Suk Lee, & Ku Wang. (2013). Spectral mixture analysis based citrus greening disease detection using satellite image of florida. 113. 1–4. 1 indexed citations

14.

Wang, Ku, Chuanrong Zhang, & Weidong Li. (2013). Predictive mapping of soil total nitrogen at a regional scale: A comparison between geographically weighted regression and cokriging. Applied Geography. 42. 73–85. 150 indexed citations

15.

Yin, Jingjing, Han Li, Yueqin Liu, & Ku Wang. (2012). On-Line Temperature Measurement System for Transform Substation Based on Infrared Technology. 1–4. 2 indexed citations

16.

Wang, Ku, Chuanrong Zhang, & Weidong Li. (2012). Comparison of Geographically Weighted Regression and Regression Kriging for Estimating the Spatial Distribution of Soil Organic Matter. GIScience & Remote Sensing. 49(6). 915–932. 58 indexed citations

17.

Li, Han, et al.. (2010). Measurement of plant height based on stereoscopic vision under the condition of a single camera. 6026–6030. 2 indexed citations

18.

Wang, Ku, et al.. (2010). Fast and precise detection of straight line with Improved Hough Transform. 6014–6017. 1 indexed citations

19.

Liu, Shaojun & Ku Wang. (2009). On detection of cottonseed perimeter based on self-adaptive freeman code. Journal of Computer Applications. 28(11). 2881–2883. 1 indexed citations

20.

Yang, Hongxia, et al.. (2002). Plant conserving water and soil-the research into Ji Ji grass^ Influence on soil nutrient. Ganhan diqu nongye yanjiu. 20(3). 38–40. 1 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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