Ling Du

1.0k total citations
13 papers, 698 citations indexed

About

Ling Du is a scholar working on Water Science and Technology, Nature and Landscape Conservation and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ling Du has authored 13 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 5 papers in Nature and Landscape Conservation and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ling Du's work include Water Quality Monitoring Technologies (7 papers), Water Quality Monitoring and Analysis (5 papers) and Fish Ecology and Management Studies (5 papers). Ling Du is often cited by papers focused on Water Quality Monitoring Technologies (7 papers), Water Quality Monitoring and Analysis (5 papers) and Fish Ecology and Management Studies (5 papers). Ling Du collaborates with scholars based in China, Fiji and United Kingdom. Ling Du's co-authors include Daoliang Li, Wang Zhen-hu, Yanqing Duan, Miao Zheng, Yingying Zheng, Chang Liu, Qi Wang, Jun Wang, Xu Zhan and Meijing Wang and has published in prestigious journals such as IEEE Access, Aquaculture and Computers and Electronics in Agriculture.

In The Last Decade

Ling Du

13 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Du China	9	322	204	184	111	85	13	698
Zhuhua Hu China	18	397 1.2×	62 0.3×	225 1.2×	59 0.5×	22 0.3×	86	1.1k
Yaochi Zhao China	14	279 0.9×	45 0.2×	145 0.8×	51 0.5×	13 0.2×	35	656
Huihui Yu China	16	407 1.3×	45 0.2×	96 0.5×	110 1.0×	42 0.5×	24	867
Jintao Liu China	10	259 0.8×	64 0.3×	166 0.9×	79 0.7×	8 0.1×	31	680
Yogesh Girdhar United States	12	123 0.4×	203 1.0×	222 1.2×	35 0.3×	54 0.6×	42	567
Christian Schellewald Norway	9	247 0.8×	71 0.3×	82 0.4×	119 1.1×	7 0.1×	23	636
Thomas Rauschenbach Germany	10	183 0.6×	273 1.3×	135 0.7×	13 0.1×	82 1.0×	28	607
R.D. Tillett United Kingdom	13	113 0.4×	27 0.1×	108 0.6×	68 0.6×	12 0.1×	40	605
José Miguel Valiente Spain	11	151 0.5×	26 0.1×	86 0.5×	72 0.6×	8 0.1×	27	494

Countries citing papers authored by Ling Du

Since Specialization

Citations

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

Fields of papers citing papers by Ling Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Du

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Du. A scholar is included among the top collaborators of Ling Du 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 Ling Du. Ling Du 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:

13 of 13 papers shown

Du, Ling, et al.. (2024). An Improved Dynamic Window Approach Based on Reinforcement Learning for the Trajectory Planning of Automated Guided Vehicles. IEEE Access. 12. 36016–36025. 2 indexed citations

Li, Daoliang, et al.. (2023). Recent advances in acoustic technology for aquaculture: A review. Reviews in Aquaculture. 16(1). 357–381. 33 indexed citations

Du, Ling, et al.. (2023). A novel automatic detection method for breeding behavior of broodstock based on improved YOLOv5. Computers and Electronics in Agriculture. 206. 107639–107639. 15 indexed citations

Du, Ling, et al.. (2022). Broodstock breeding behaviour recognition based on Resnet50-LSTM with CBAM attention mechanism. Computers and Electronics in Agriculture. 202. 107404–107404. 47 indexed citations

Li, Chuan, et al.. (2022). Design of Automatic Recycling Robot Based on YOLO Target Detection. 2 indexed citations

Li, Daoliang & Ling Du. (2021). AUV Trajectory Tracking Models and Control Strategies: A Review. Journal of Marine Science and Engineering. 9(9). 1020–1020. 112 indexed citations

Li, Daoliang & Ling Du. (2021). Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish. Artificial Intelligence Review. 55(5). 4077–4116. 93 indexed citations

Liu, Chang, et al.. (2021). Automatic Recognition of Fish Behavior with a Fusion of RGB and Optical Flow Data Based on Deep Learning. Animals. 11(10). 2774–2774. 45 indexed citations

Li, Daoliang, et al.. (2021). Recent advances in intelligent recognition methods for fish stress behavior. Aquacultural Engineering. 96. 102222–102222. 68 indexed citations

10.

Li, Daoliang, et al.. (2020). Automatic recognition methods of fish feeding behavior in aquaculture: A review. Aquaculture. 528. 735508–735508. 138 indexed citations

11.

Li, Daoliang, et al.. (2018). Path Planning Technologies for Autonomous Underwater Vehicles-A Review. IEEE Access. 7. 9745–9768. 136 indexed citations

12.

Cao, Xiaochun, et al.. (2015). A new encryption scheme for surveillance videos. Frontiers of Computer Science. 9(5). 765–777. 1 indexed citations

13.

Du, Ling, et al.. (2013). A New Adaptive Image Fusion Technique of CT and MRI Images Based on Dual-Tree Complex Wavelet Transform. Applied Mechanics and Materials. 411-414. 1189–1192. 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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