Dong Liang

1.5k total citations
50 papers, 1.2k citations indexed

About

Dong Liang is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Dong Liang has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 17 papers in Analytical Chemistry and 16 papers in Ecology. Recurrent topics in Dong Liang's work include Smart Agriculture and AI (22 papers), Spectroscopy and Chemometric Analyses (17 papers) and Remote Sensing in Agriculture (16 papers). Dong Liang is often cited by papers focused on Smart Agriculture and AI (22 papers), Spectroscopy and Chemometric Analyses (17 papers) and Remote Sensing in Agriculture (16 papers). Dong Liang collaborates with scholars based in China, United States and Hong Kong. Dong Liang's co-authors include Gensheng Hu, Wenxia Bao, Dongyan Zhang, Guijun Yang, Haidong Li, Chengquan Zhou, Xiaodong Yang, Weihui Zeng, Yang Ding and Xianjun Yang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Dong Liang

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong Liang China	19	792	367	322	184	169	50	1.2k
Gensheng Hu China	18	947 1.2×	291 0.8×	412 1.3×	116 0.6×	134 0.8×	53	1.3k
Juncheng Ma China	16	916 1.2×	333 0.9×	346 1.1×	109 0.6×	86 0.5×	46	1.2k
Cheryl McCarthy Australia	12	979 1.2×	282 0.8×	255 0.8×	124 0.7×	188 1.1×	31	1.2k
Guoxiong Zhou China	23	950 1.2×	190 0.5×	399 1.2×	310 1.7×	73 0.4×	83	1.6k
Mads Dyrmann Denmark	15	969 1.2×	422 1.1×	254 0.8×	68 0.4×	126 0.7×	32	1.2k
Huanyu Jiang China	19	1.1k 1.3×	261 0.7×	360 1.1×	122 0.7×	152 0.9×	85	1.5k
Huasheng Huang China	16	517 0.7×	323 0.9×	153 0.5×	91 0.5×	126 0.7×	29	907
Anand Koirala Australia	12	944 1.2×	272 0.7×	309 1.0×	118 0.6×	123 0.7×	20	1.1k
Philipp Lottes Germany	17	1.3k 1.7×	569 1.6×	228 0.7×	207 1.1×	251 1.5×	19	1.6k

Countries citing papers authored by Dong Liang

Since Specialization

Citations

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

Fields of papers citing papers by Dong Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Liang

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

Liang, Dong, et al.. (2025). Mapping Large-Scale Local Climate Zones From High-Resolution Multiview Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 15170–15184.

Zhang, Xiujuan, Dong Liang, Ning Zhu, et al.. (2025). The interplay between M2-like macrophages and Th17.1 cells promotes the progression of early-stage sarcoidosis. Cell Communication and Signaling. 24(1). 1–1.

Wu, Sheng, Shiqing Gao, Weiliang Wen, et al.. (2025). ICFMNet: an automated segmentation and 3D phenotypic analysis pipeline for plant, spike, and flag leaf type of wheat. Computers and Electronics in Agriculture. 239. 110893–110893.

Li, Haidong, Chao Ruan, Jinling Zhao, et al.. (2024). Integrating high-frequency detail information for enhanced corn leaf disease recognition: A model utilizing fusion imagery. European Journal of Agronomy. 164. 127489–127489. 3 indexed citations

Tao, Xingyu, et al.. (2024). Decentralized artificial intelligence in construction using blockchain. Automation in Construction. 166. 105669–105669. 10 indexed citations

Li, Haidong, Jinling Zhao, Linsheng Huang, et al.. (2024). Automatic localization of image semantic patches for crop disease recognition. Applied Soft Computing. 165. 112076–112076.

Wang, Hong, et al.. (2023). DCTN: a dense parallel network combining CNN and transformer for identifying plant disease in field. Soft Computing. 27(21). 15549–15561. 11 indexed citations

Zhou, Daibing, et al.. (2023). Characteristics and Comparison of Rapidly Growing and Slowly Growing nontuberculous Mycobacterial Pulmonary Disease. International Journal of Mycobacteriology. 12(3). 324–331. 2 indexed citations

Bao, Wenxia, Tao Fan, Gensheng Hu, Dong Liang, & Haidong Li. (2022). Detection and identification of tea leaf diseases based on AX-RetinaNet. Scientific Reports. 12(1). 2183–2183. 65 indexed citations

10.

Bao, Wenxia, Xinghua Yang, Dong Liang, Gensheng Hu, & Xianjun Yang. (2021). Lightweight convolutional neural network model for field wheat ear disease identification. Computers and Electronics in Agriculture. 189. 106367–106367. 113 indexed citations

11.

Bao, Wenxia, et al.. (2020). Defect Detection Algorithm of Anti-vibration Hammer Based on Improved Cascade R-CNN. 294–297. 7 indexed citations

12.

Wang, Daoyong, Yuanyuan Fu, Guijun Yang, et al.. (2019). Combined Use of FCN and Harris Corner Detection for Counting Wheat Ears in Field Conditions. IEEE Access. 7. 178930–178941. 39 indexed citations

13.

Fan, Lingling, Jinling Zhao, Xingang Xu, et al.. (2019). Hyperspectral-Based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables. Sensors. 19(13). 2898–2898. 53 indexed citations

14.

Zhou, Chengquan, Guijun Yang, Dong Liang, Xiaodong Yang, & Bo Xu. (2018). An Integrated Skeleton Extraction and Pruning Method for Spatial Recognition of Maize Seedlings in MGV and UAV Remote Images. IEEE Transactions on Geoscience and Remote Sensing. 56(8). 4618–4632. 35 indexed citations

15.

Zhou, Chengquan, Dong Liang, Xiaodong Yang, et al.. (2018). Wheat Ears Counting in Field Conditions Based on Multi-Feature Optimization and TWSVM. Frontiers in Plant Science. 9. 1024–1024. 71 indexed citations

16.

Yang, Yang, Weiming Zhang, Dong Liang, & Nenghai Yu. (2016). Reversible data hiding in medical images with enhanced contrast in texture area. Digital Signal Processing. 52. 13–24. 36 indexed citations

17.

Liang, Dong. (2012). CAM Shift Object Tracking Algorithm Based on Color and Edge Feature. Huadong Li-Gong Daxue xuebao. 1 indexed citations

18.

Liang, Dong, Hao Tang, Richard L. J. Qiu, & Xuan Gao. (2011). Two Dimensional Transport Induced Linear Magneto-resistance in Topological Insulator Bi$_{2}$Se$_{3}$ Nanoribbons. Bulletin of the American Physical Society. 2011. 24 indexed citations

19.

Liang, Dong. (2008). Image enhancement using wavelet based contourlet transform. Jisuanji gongcheng yu sheji. 3 indexed citations

20.

Liang, Dong, Yao Li, Min Shen, Qingwei Gao, & Wenxia Bao. (2007). An Algorithm for Multi-Focus Image Fusion Using Wavelet Based Contourlet Transform. Dianzi xuebao. 35(2). 320–322. 6 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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