Shumao Wang

614 total citations
41 papers, 465 citations indexed

About

Shumao Wang is a scholar working on Plant Science, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shumao Wang has authored 41 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 12 papers in Mechanical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Shumao Wang's work include Smart Agriculture and AI (12 papers), Agricultural Engineering and Mechanization (7 papers) and Plant Surface Properties and Treatments (6 papers). Shumao Wang is often cited by papers focused on Smart Agriculture and AI (12 papers), Agricultural Engineering and Mechanization (7 papers) and Plant Surface Properties and Treatments (6 papers). Shumao Wang collaborates with scholars based in China, Taiwan and United States. Shumao Wang's co-authors include Du Chen, Qin Zhang, Manoj Karkee, Yaqoob Majeed, Xin Zhang, Longsheng Fu, Jing Zhang, Ling Wang, Ze Yao and Qihang Hou and has published in prestigious journals such as Chemical Communications, Expert Systems with Applications and Frontiers in Plant Science.

In The Last Decade

Shumao Wang

39 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shumao Wang China	13	272	78	73	51	47	41	465
Pengbo Wang China	12	334 1.2×	103 1.3×	48 0.7×	54 1.1×	43 0.9×	33	483
Juan Liao China	14	229 0.8×	148 1.9×	23 0.3×	30 0.6×	63 1.3×	56	513
Jafar Massah Iran	17	357 1.3×	114 1.5×	71 1.0×	117 2.3×	47 1.0×	48	786
Rong Luo China	11	327 1.2×	62 0.8×	34 0.5×	114 2.2×	79 1.7×	27	725
Feng Kang China	13	226 0.8×	89 1.1×	55 0.8×	27 0.5×	38 0.8×	57	507
Jinxing Wang China	12	107 0.4×	115 1.5×	73 1.0×	52 1.0×	22 0.5×	48	568
J. R. M. Almaraz Mexico	13	167 0.6×	50 0.6×	69 0.9×	25 0.5×	36 0.8×	36	511
Qiao Zhou China	13	195 0.7×	53 0.7×	95 1.3×	32 0.6×	21 0.4×	24	468
A. Diana Andrushia India	17	166 0.6×	56 0.7×	41 0.6×	64 1.3×	20 0.4×	90	965
Jin Gao China	11	211 0.8×	74 0.9×	47 0.6×	45 0.9×	13 0.3×	27	358

Countries citing papers authored by Shumao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shumao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shumao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shumao Wang. A scholar is included among the top collaborators of Shumao 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 Shumao Wang. Shumao 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

Wang, Shumao, et al.. (2024). Tea yield estimation using UAV images and deep learning. Industrial Crops and Products. 212. 118358–118358. 9 indexed citations

Fan, Dongmei, et al.. (2024). Soil properties and microbial evolution during cropping system conversion: Insights from a 105-year study in southern China. Industrial Crops and Products. 222. 119802–119802. 1 indexed citations

Chen, Du, et al.. (2023). Design and performance analysis of indoor calibration device for the force-measuring system of the tractor three-point hitch. International journal of agricultural and biological engineering. 16(3). 47–54.

Zhou, Xiaoyi, et al.. (2023). Unsupervised anomaly analysis-based manufacturing quality test and grading method for combine harvesters. Computers and Electronics in Agriculture. 210. 107898–107898. 5 indexed citations

Tang, Can, et al.. (2023). Knowledge Discovery and Diagnosis Using Temporal-Association-Rule-Mining-Based Approach for Threshing Cylinder Blockage. Agriculture. 13(7). 1299–1299. 4 indexed citations

Wang, Shumao, et al.. (2023). Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learning. Expert Systems with Applications. 227. 120351–120351. 9 indexed citations

Tang, Can, et al.. (2023). A fine recognition method of strawberry ripeness combining Mask R-CNN and region segmentation. Frontiers in Plant Science. 14. 1211830–1211830. 12 indexed citations

Chen, Du, Shumao Wang, Hang Li, et al.. (2023). Compilation and Extrapolation of Load Spectrum of Tractor Ground Vibration Load Based on CEEMDAN-POT Model. Agriculture. 13(1). 125–125. 21 indexed citations

Liu, Yehong, et al.. (2023). Discriminating Feed Rate of Combine Harvester by Using Association Rule Mining. Elektronika ir Elektrotechnika. 29(3). 4–10. 3 indexed citations

10.

Wang, Zhenyu, et al.. (2023). Embedded Yolo-Fastest V2-Based 3D Reconstruction and Size Prediction of Grain Silo-Bag. Remote Sensing. 15(19). 4846–4846. 4 indexed citations

11.

Wang, Yu, et al.. (2022). Transcriptome analysis of tea (Camellia sinensis) leaves in response to ammonium starvation and recovery. Frontiers in Plant Science. 13. 963269–963269. 4 indexed citations

12.

Wang, Ling, Qihang Hou, Junpeng Wang, Zhiwei Wang, & Shumao Wang. (2021). Influence of the inner tilt angle on downwash airflow field of multi-rotor UAV based on wireless wind speed acquisition system. International journal of agricultural and biological engineering. 14(6). 19–26. 7 indexed citations

13.

Wang, Ling, et al.. (2018). Research on the prediction model and its influencing factors of droplet deposition area in the wind tunnel environment based on UAV spraying. IFAC-PapersOnLine. 51(17). 274–279. 33 indexed citations

14.

Fu, Han, Long He, Shaochun Ma, et al.. (2017). 'Jazz' Apple Impact Bruise Responses to Different Cushioning Materials. Transactions of the ASABE. 60(2). 327–336. 28 indexed citations

15.

Fu, Han, Long He, Shaochun Ma, et al.. (2016). Impact Bruise Responses for “Jazz” Apple on Different Materials of Catch Surface. 1 indexed citations

16.

Wang, Shumao, et al.. (2011). The mature wheat cut and uncut edge detection method based on wavelet image rotation and projection. African Journal of Agricultural Research. 6(11). 2609–2616. 7 indexed citations

17.

Wu, Gang, et al.. (2010). Walking goal line detection based on improved hough transform on harvesting robot.. Transactions of the Chinese Society of Agricultural Machinery. 41(2). 176–179. 5 indexed citations

18.

Wang, Shumao. (2008). Study on self-localization of intelligent vehicle based on monocular navigation. Jisuanji gongcheng yu sheji.

19.

Wang, Shuming, Lijun Jiang, Xiaopeng Liu, & Shumao Wang. (2005). Study on catalyst for the sodium borohydride hydrolysis. 15. 414–417. 1 indexed citations

20.

Wang, Shumao, et al.. (2004). Effects of mound--building activity of zokor({\sl Myospalax baileyi}) and different regimes of grazing--prohibited on vegetation productivity. Xibei zhiwu xuebao. 24(10). 1882–1887. 3 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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