Feng Kang

757 total citations · 1 hit paper
57 papers, 507 citations indexed

About

Feng Kang is a scholar working on Plant Science, Mechanical Engineering and Environmental Engineering. According to data from OpenAlex, Feng Kang has authored 57 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 15 papers in Mechanical Engineering and 10 papers in Environmental Engineering. Recurrent topics in Feng Kang's work include Smart Agriculture and AI (10 papers), Plant Surface Properties and Treatments (10 papers) and Remote Sensing and LiDAR Applications (9 papers). Feng Kang is often cited by papers focused on Smart Agriculture and AI (10 papers), Plant Surface Properties and Treatments (10 papers) and Remote Sensing and LiDAR Applications (9 papers). Feng Kang collaborates with scholars based in China, United States and Egypt. Feng Kang's co-authors include Yaxiong Wang, Wenbin Li, Jiangming Kan, Chenxi Zhang, Yongjun Zheng, Kang Ping Chen, Kangping Chen, Xiaoyi Wu, Yue Yang and Yue Yang and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Food Chemistry.

In The Last Decade

Feng Kang

51 papers receiving 495 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection

2025 21 citations Zhuo Wang, Yuting Su et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Kang China	13	226	93	92	89	57	57	507
Yuanhong Li China	17	236 1.0×	78 0.8×	91 1.0×	87 1.0×	92 1.6×	69	792
Zhenchao Wu China	14	388 1.7×	87 0.9×	37 0.4×	101 1.1×	45 0.8×	23	593
Sheng Wen China	12	315 1.4×	53 0.6×	72 0.8×	46 0.5×	30 0.5×	31	518
Changyuan Zhai China	15	409 1.8×	47 0.5×	75 0.8×	83 0.9×	20 0.4×	68	553
Qingxi Liao China	13	264 1.2×	118 1.3×	61 0.7×	211 2.4×	31 0.5×	56	674
Weixiang Yao China	11	327 1.4×	38 0.4×	37 0.4×	48 0.5×	67 1.2×	27	490
Shenghui Yang China	12	200 0.9×	75 0.8×	42 0.5×	33 0.4×	23 0.4×	42	398
Rui Jiang China	14	115 0.5×	23 0.2×	60 0.7×	83 0.9×	35 0.6×	60	555
Du China	12	143 0.6×	114 1.2×	36 0.4×	171 1.9×	23 0.4×	129	667
Scarlett Liu Australia	13	347 1.5×	118 1.3×	210 2.3×	120 1.3×	42 0.7×	24	779

Countries citing papers authored by Feng Kang

Since Specialization

Citations

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

Fields of papers citing papers by Feng Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Kang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kang, Feng, et al.. (2025). Surface oxidation modification mechanism of sodium persulfate on arsenopyrite and its impact on the flotation separation of bornite and arsenopyrite. Journal of Hazardous Materials. 492. 138243–138243. 5 indexed citations

Kang, Feng, et al.. (2025). Selective passivation of arsenopyrite surface using a novel eco-friendly oxidant, sodium percarbonate, for Cu–As flotation separation. Chemical Engineering Journal. 515. 163664–163664. 5 indexed citations

Wang, Zhuo, Yuting Su, Feng Kang, et al.. (2025). PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection. Sensors. 25(2). 348–348. 21 indexed citations breakdown →

Kang, Feng, et al.. (2025). Bioaccumulation and biotransformation of hexavalent chromium in black soldier fly (Hermetia illucens) in the antagonism of selenate. Environmental Pollution. 372. 126054–126054.

Kang, Feng, et al.. (2025). Data-Driven ToMFIR-Based Active Incipient Fault Detection for the Suspension System of High-Speed Trains. IEEE Access. 14. 9851–9858. 1 indexed citations

Wang, Ning, Bin Wu, Yaxiong Wang, et al.. (2025). A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species. Agriculture. 15(14). 1463–1463.

Wang, Yaxiong, et al.. (2024). Grapevine Branch Recognition and Pruning Point Localization Technology Based on Image Processing. Applied Sciences. 14(8). 3327–3327. 5 indexed citations

Kang, Feng, et al.. (2024). Incipient Fault Detection and Recognition of China Railway High-Speed (CRH) Suspension System Based on Probabilistic Relevant Principal Component Analysis (PRPCA) and Support Vector Machine (SVM). Machines. 12(12). 832–832. 1 indexed citations

Li, Wenbin, et al.. (2024). Design of multi-section luffing apple pruning equipment and cutting test of the key components. International journal of agricultural and biological engineering. 17(1). 109–117. 1 indexed citations

10.

Wang, Yaxiong, et al.. (2023). Tea Bud and Picking Point Detection Based on Deep Learning. Forests. 14(6). 1188–1188. 6 indexed citations

11.

Li, Wenbin, et al.. (2023). An image-based system for locating pruning points in apple trees using instance segmentation and RGB-D images. Biosystems Engineering. 236. 277–286. 16 indexed citations

12.

Yang, Shenghui, et al.. (2023). Light efficacy estimation for fruit trees based on LIDAR point clouds: A case study on pear trees. Scientia Horticulturae. 324. 112590–112590. 3 indexed citations

13.

Li, Jiale, et al.. (2023). The Improved A* Algorithm for Quadrotor UAVs under Forest Obstacle Avoidance Path Planning. Applied Sciences. 13(7). 4290–4290. 11 indexed citations

14.

Wang, Yutong, et al.. (2022). Study of Sawing Parameters for Caragana korshinskii (C.K.) Branches. Forests. 13(2). 327–327. 5 indexed citations

15.

Wu, Xiaoyi, et al.. (2021). Analysis of droplet size uniformity and selection of spray parameters based on the biological optimum particle size theory. Environmental Research. 204(Pt B). 112076–112076. 23 indexed citations

16.

Kang, Feng, et al.. (2020). Point cloud registration for agriculture and forestry crops based on calibration balls using Kinect V2. International journal of agricultural and biological engineering. 13(1). 198–205. 1 indexed citations

17.

Kang, Feng, et al.. (2019). Extracting Diameter at Breast Height with a Handheld Mobile LiDAR System in an Outdoor Environment. Sensors. 19(14). 3212–3212. 48 indexed citations

18.

Wang, Yaxiong, et al.. (2017). Identification and location of grapevine sucker based on information fusion of 2D laser scanner and machine vision. International journal of agricultural and biological engineering. 10(2). 84–93. 11 indexed citations

19.

Li, Wenbin, et al.. (2015). Evaluation of grapevine sucker segmentation algorithms for precision targeted spray.. International journal of agricultural and biological engineering. 8(4). 77–85. 2 indexed citations

20.

Kang, Feng, et al.. (2007). Study of an onboard information platform for a grain combine harvester. New Zealand Journal of Agricultural Research. 50(5). 927–934. 2 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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