Wen‐Hao Su

2.8k total citations · 1 hit paper
86 papers, 2.1k citations indexed

About

Wen‐Hao Su is a scholar working on Plant Science, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Wen‐Hao Su has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 40 papers in Analytical Chemistry and 20 papers in Biomedical Engineering. Recurrent topics in Wen‐Hao Su's work include Spectroscopy and Chemometric Analyses (40 papers), Smart Agriculture and AI (26 papers) and Advanced Chemical Sensor Technologies (19 papers). Wen‐Hao Su is often cited by papers focused on Spectroscopy and Chemometric Analyses (40 papers), Smart Agriculture and AI (26 papers) and Advanced Chemical Sensor Technologies (19 papers). Wen‐Hao Su collaborates with scholars based in China, Ireland and United States. Wen‐Hao Su's co-authors include Da‐Wen Sun, Serafim Bakalis, Hong-Ju He, Yankun Peng, Steven A. Fennimore, David C. Slaughter, Brian J. Steffenson, Cory D. Hirsch, Ce Yang and Jianguo He and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Langmuir.

In The Last Decade

Wen‐Hao Su

79 papers receiving 2.0k 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.

Active Disturbance Rejection Control—New Trends in Agricultural Cybernetics in the Future: A Comprehensive Review

2025 19 citations Wen‐Hao Su et al. Machines profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen‐Hao Su China	29	1.1k	993	477	326	276	86	2.1k
Ye Sun China	25	946 0.9×	655 0.7×	408 0.9×	208 0.6×	302 1.1×	67	1.7k
Yuzhen Lu United States	27	1.2k 1.1×	1.3k 1.3×	474 1.0×	141 0.4×	176 0.6×	108	2.5k
Daniel E. Guyer United States	26	1.2k 1.1×	1.1k 1.1×	390 0.8×	181 0.6×	291 1.1×	63	2.0k
Liping Chen China	30	1.1k 1.0×	1.2k 1.2×	358 0.8×	209 0.6×	177 0.6×	121	2.6k
Qibing Zhu China	28	1.5k 1.4×	1000 1.0×	569 1.2×	226 0.7×	306 1.1×	89	2.4k
Insuck Baek United States	21	808 0.8×	535 0.5×	296 0.6×	250 0.8×	205 0.7×	104	1.4k
Changyeun Mo South Korea	26	1.3k 1.2×	674 0.7×	604 1.3×	508 1.6×	349 1.3×	99	2.1k
Xiaohong Wu China	30	1.6k 1.5×	766 0.8×	731 1.5×	261 0.8×	269 1.0×	121	2.5k
Chunjiang Zhao China	25	1.5k 1.4×	774 0.8×	561 1.2×	125 0.4×	249 0.9×	76	2.2k
Zhengjun Qiu China	28	1.2k 1.2×	852 0.9×	544 1.1×	248 0.8×	230 0.8×	79	2.3k

Countries citing papers authored by Wen‐Hao Su

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Hao Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Hao Su. 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 Wen‐Hao Su. The network helps show where Wen‐Hao Su may publish in the future.

Co-authorship network of co-authors of Wen‐Hao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Hao Su. A scholar is included among the top collaborators of Wen‐Hao Su 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 Wen‐Hao Su. Wen‐Hao Su 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

Su, Wen‐Hao, et al.. (2025). Active Disturbance Rejection Control—New Trends in Agricultural Cybernetics in the Future: A Comprehensive Review. Machines. 13(2). 111–111. 19 indexed citations breakdown →

Raja, Rekha, Wen‐Hao Su, David C. Slaughter, & Steven A. Fennimore. (2025). Real-time precision crop identification in high weed-density environments for robotic weed control using spectral fluorescence imaging in celery. Computers and Electronics in Agriculture. 231. 110022–110022. 3 indexed citations

Hao, Ming, Wen‐Hao Su, Sibo Chen, et al.. (2025). Elasticity of davemaoite as a primary contributor to lower-mantle heterogeneities. Science. 390(6776). 935–939.

Li, Jiale, et al.. (2025). Smart weeding system with multi-sensor fusion for tomato plant detection and targeted micro-spraying of intra-row weeds. Computers and Electronics in Agriculture. 237. 110598–110598. 1 indexed citations

Pan, Fei, Wen‐Hao Su, Meng Zhang, et al.. (2025). Characterization and feature selection of volatile metabolites in Yangxian pigmented rice varieties through GC-MS and machine learning algorithms. Frontiers in Nutrition. 12. 1598875–1598875.

Su, Wen‐Hao, et al.. (2024). Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control. Computers and Electronics in Agriculture. 226. 109404–109404. 21 indexed citations

Su, Wen‐Hao, et al.. (2024). The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review. Agriculture. 14(8). 1225–1225. 39 indexed citations

Su, Wen‐Hao, et al.. (2024). APHS-YOLO: A Lightweight Model for Real-Time Detection and Classification of Stropharia Rugoso-Annulata. Foods. 13(11). 1710–1710. 9 indexed citations

Yu, Kai, Weifeng Zhang, L. Jiang, et al.. (2024). Steerable Interfacial Assembly of 1D Amyloid‐Like Protein Nanocomposites for Enhanced Nanoherbicide Utilization. Small. 20(48). e2405106–e2405106. 3 indexed citations

10.

Tian, Zhixi, et al.. (2024). High-Precision Automated Soybean Phenotypic Feature Extraction Based on Deep Learning and Computer Vision. Plants. 13(18). 2613–2613. 3 indexed citations

11.

Su, Wen‐Hao, et al.. (2024). Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review. Agronomy. 14(2). 363–363. 38 indexed citations

12.

Zhang, Quan & Wen‐Hao Su. (2023). Real-Time Recognition and Localization of Apples for Robotic Picking Based on Structural Light and Deep Learning. Smart Cities. 6(6). 3393–3410. 9 indexed citations

13.

Su, Wen‐Hao, et al.. (2023). An Integrated Multi-Model Fusion System for Automatically Diagnosing the Severity of Wheat Fusarium Head Blight. Agriculture. 13(7). 1381–1381. 7 indexed citations

14.

Zhang, Weifeng, Jiahe Chen, Long Jiang, et al.. (2023). Synergy between hydrophilic silica nanoparticles and poly(vinylpyrrolidone) for long-term foam stabilization with little energy input. Journal of Molecular Liquids. 383. 122049–122049. 3 indexed citations

15.

Su, Wen‐Hao, et al.. (2023). Quantitative Evaluation of Maize Emergence Using UAV Imagery and Deep Learning. Remote Sensing. 15(8). 1979–1979. 23 indexed citations

16.

Jia, Jianguang, Chen Hao, Hongyu Pan, et al.. (2023). Full life circle of micro-nano bubbles: Generation, characterization and applications. Chemical Engineering Journal. 471. 144621–144621. 57 indexed citations

17.

Su, Wen‐Hao, et al.. (2023). Governance and Actions for Resilient Urban Food Systems in the Era of COVID-19: Lessons and Challenges in China. Agriculture. 13(9). 1681–1681. 2 indexed citations

18.

Zhang, Jiajing, Min An, Brian J. Steffenson, et al.. (2022). Wheat-Net: An Automatic Dense Wheat Spike Segmentation Method Based on an Optimized Hybrid Task Cascade Model. Frontiers in Plant Science. 13. 834938–834938. 13 indexed citations

19.

Su, Wen‐Hao, et al.. (2020). Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision. Remote Sensing. 13(1). 26–26. 102 indexed citations

20.

Su, Wen‐Hao & Da‐Wen Sun. (2018). Advanced Analysis of Roots and Tubers by Hyperspectral Techniques. Advances in food and nutrition research. 87. 255–303. 20 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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