Fangming Wu

1.4k total citations · 1 hit paper
48 papers, 935 citations indexed

About

Fangming Wu is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Ecology. According to data from OpenAlex, Fangming Wu has authored 48 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Electrical and Electronic Engineering and 7 papers in Ecology. Recurrent topics in Fangming Wu's work include Remote Sensing in Agriculture (6 papers), Advanced Photonic Communication Systems (5 papers) and Smart Agriculture and AI (5 papers). Fangming Wu is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Advanced Photonic Communication Systems (5 papers) and Smart Agriculture and AI (5 papers). Fangming Wu collaborates with scholars based in China, Taiwan and United States. Fangming Wu's co-authors include Bingfang Wu, Chun-Ting Lin, Chia-Chien Wei, Cheng‐Wei Chen, Changlin Tian, Miao Zhang, Hongwei Zeng, Chun-Hung Ho, Xingli Qin and Fuyou Tian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Molecular Biology.

In The Last Decade

Fangming Wu

43 papers receiving 902 citations

Hit Papers

Challenges and opportunities in remote sensing-based crop... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangming Wu China 17 223 205 173 111 108 48 935
Chuanyu Wang China 19 115 0.5× 180 0.9× 202 1.2× 26 0.2× 410 3.8× 83 1.2k
Yeting Zhang China 23 55 0.2× 386 1.9× 107 0.6× 44 0.4× 261 2.4× 115 1.7k
Zhaohua Chen China 19 32 0.1× 163 0.8× 167 1.0× 244 2.2× 41 0.4× 52 898
Fang Gao China 17 139 0.6× 158 0.8× 62 0.4× 26 0.2× 270 2.5× 100 835
Yuan Yuan China 19 34 0.2× 253 1.2× 55 0.3× 31 0.3× 86 0.8× 50 1.4k
Nan Chen China 12 47 0.2× 31 0.2× 102 0.6× 61 0.5× 29 0.3× 60 505
Zhexian Liu China 13 46 0.2× 159 0.8× 64 0.4× 64 0.6× 120 1.1× 21 637
Petr Horáček Czechia 15 32 0.1× 129 0.6× 67 0.4× 226 2.0× 138 1.3× 62 824
Xi Qiao China 18 25 0.1× 283 1.4× 300 1.7× 62 0.6× 692 6.4× 56 1.5k
Guoqing Liu China 16 61 0.3× 45 0.2× 61 0.4× 57 0.5× 31 0.3× 114 923

Countries citing papers authored by Fangming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fangming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangming Wu. A scholar is included among the top collaborators of Fangming Wu 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 Fangming Wu. Fangming Wu 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.
Liu, Sirui, Fangming Wu, Jun Zhang, et al.. (2025). Assisting and accelerating NMR assignment with restrained structure prediction. Communications Biology. 8(1). 1067–1067. 2 indexed citations
2.
Zhang, Miao, et al.. (2025). Superpixel-refined deep learning framework with texture enhancement and multi-layer attention fusion for automatic crop detection in VGI cropland imagery. Computers and Electronics in Agriculture. 238. 110746–110746. 2 indexed citations
3.
Qin, Xingli, et al.. (2025). High-Frequency, real-time parcel-level agricultural monitoring Framework: Integrating Tower-Based cameras and artificial intelligence. Computers and Electronics in Agriculture. 240. 111153–111153. 1 indexed citations
4.
Fan, Jibiao, Yao Chen, Xiaoqin Li, et al.. (2024). Transcriptomic and metabolomic insights into the antimony stress response of tall fescue (Festuca arundinacea). The Science of The Total Environment. 933. 172990–172990. 6 indexed citations
5.
6.
Li, Wenyue, Bingfang Wu, Runyu Fan, et al.. (2024). Multiclass Crop Interpretation via a Lightweight Attentive Feature Fusion Network Using Vehicle-View Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 496–509. 9 indexed citations
7.
Chen, Xiaolin, Yiqiang Chen, Fan Yang, & Fangming Wu. (2024). Study on the Coupling of Identical Dipole Array Antennas Based on HFSS. 299–303.
8.
Wu, Bingfang, Miao Zhang, Hongwei Zeng, et al.. (2022). Challenges and opportunities in remote sensing-based crop monitoring: a review. National Science Review. 10(4). nwac290–nwac290. 129 indexed citations breakdown →
9.
Wu, Fangming, Bingfang Wu, Weiwei Zhu, et al.. (2021). ETWatch cloud: APIs for regional actual evapotranspiration data generation. Environmental Modelling & Software. 145. 105174–105174. 11 indexed citations
10.
Wu, Fangming, Bingfang Wu, Miao Zhang, Hongwei Zeng, & Fuyou Tian. (2021). Identification of Crop Type in Crowdsourced Road View Photos with Deep Convolutional Neural Network. Sensors. 21(4). 1165–1165. 22 indexed citations
11.
Zhao, Rui, Pan Shi, S. S. Sun, et al.. (2020). Chemical synthesis and biological activity of peptides incorporating an ether bridge as a surrogate for a disulfide bond. Chemical Science. 11(30). 7927–7932. 31 indexed citations
12.
Zeng, Hongwei, Bingfang Wu, Ning Zhang, et al.. (2020). Dryland ecosystem dynamic change and its drivers in Mediterranean region. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Chen, Jinwu, Xiaojie Li, Ling Li, et al.. (2019). Coagulation factors VII, IX and X are effective antibacterial proteins against drug-resistant Gram-negative bacteria. Cell Research. 29(9). 711–724. 31 indexed citations
14.
Li, Xin, Ning Zhao, Rui Jin, et al.. (2019). Internet of Things to network smart devices for ecosystem monitoring. Science Bulletin. 64(17). 1234–1245. 64 indexed citations
15.
Wei, Chia-Chien, et al.. (2015). Indoor VLC System With Multiple LEDs of Different Path Lengths Employing Space–Time Block-Coded DMT/CAP Modulation [Invited]. Journal of Optical Communications and Networking. 7(3). A459–A459. 20 indexed citations
16.
Wang, Songwei, Peng Zhou, Yao He, et al.. (2014). Fast conformational exchange between the sulfur-free and persulfide-bound rhodanese domain of E. coli YgaP. Biochemical and Biophysical Research Communications. 452(3). 817–821. 5 indexed citations
17.
Pan, Man, Yao He, Ming Wen, et al.. (2014). One-pot hydrazide-based native chemical ligation for efficient chemical synthesis and structure determination of toxin Mambalgin-1. Chemical Communications. 50(44). 5837–5839. 54 indexed citations
18.
Li, Pan, Haowen Liu, Peibei Sun, et al.. (2014). Differential Modulations of KCNQ1 by Auxiliary Proteins KCNE1 and KCNE2. Scientific Reports. 4(1). 4973–4973. 12 indexed citations
19.
Sun, Demeng, Qing Liu, Yao He, et al.. (2013). The putative propeptide of MycP1 in mycobacterial type VII secretion system does not inhibit protease activity but improves protein stability. Protein & Cell. 4(12). 921–931. 10 indexed citations
20.
Peng, Peng‐Chun, Fangming Wu, Wen-Jr Jiang, et al.. (2009). RF phase shifter using a distributed feedback laser in microwave transport systems. Optics Express. 17(9). 7609–7609. 4 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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