Ling Ding

1.6k total citations · 2 hit papers
45 papers, 1.2k citations indexed

About

Ling Ding is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Civil and Structural Engineering. According to data from OpenAlex, Ling Ding has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 13 papers in Industrial and Manufacturing Engineering and 12 papers in Civil and Structural Engineering. Recurrent topics in Ling Ding's work include Infrastructure Maintenance and Monitoring (12 papers), Robotic Mechanisms and Dynamics (7 papers) and Asphalt Pavement Performance Evaluation (7 papers). Ling Ding is often cited by papers focused on Infrastructure Maintenance and Monitoring (12 papers), Robotic Mechanisms and Dynamics (7 papers) and Asphalt Pavement Performance Evaluation (7 papers). Ling Ding collaborates with scholars based in China, Australia and Canada. Ling Ding's co-authors include Wentao Mao, Vincent C. S. Lee, Yamin Liu, Xu Yang, Yuan Li, Xihui Liang, Jinchao Guan, Sang Luo, Stephen Lau and Xin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Ling Ding

41 papers receiving 1.2k citations

Hit Papers

Automated pavement crack detection and segmentation based... 2019 2026 2021 2023 2020 2019 50 100 150 200 250
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.

  1. Automated pavement crack detection and segmentation based on two-step convolutional neural network
    2020 286 citations Xu Yang, Ling Ding et al. profile →
  2. Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study
    2019 219 citations Wentao Mao, Yamin Liu et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Ding China 14 515 445 367 127 125 45 1.2k
Manuel Chiachío Spain 20 530 1.0× 177 0.4× 336 0.9× 84 0.7× 97 0.8× 54 1.3k
Xianguang Kong China 21 107 0.2× 775 1.7× 697 1.9× 144 1.1× 197 1.6× 56 1.4k
Yu Zhao China 26 169 0.3× 370 0.8× 266 0.7× 134 1.1× 54 0.4× 96 2.0k
Juan Chiachío Spain 20 555 1.1× 176 0.4× 347 0.9× 75 0.6× 99 0.8× 57 1.3k
Jesús María Pinar-Pérez Spain 11 312 0.6× 790 1.8× 406 1.1× 50 0.4× 149 1.2× 23 1.6k
Chong Chen China 20 73 0.1× 418 0.9× 226 0.6× 266 2.1× 166 1.3× 109 1.1k
Yiwei Wang China 21 63 0.1× 258 0.6× 461 1.3× 141 1.1× 124 1.0× 102 1.3k
P. Sharafi Australia 22 1.1k 2.2× 60 0.1× 207 0.6× 168 1.3× 50 0.4× 71 2.0k
Ping Huang China 25 148 0.3× 95 0.2× 628 1.7× 651 5.1× 76 0.6× 92 1.6k
Tieling Zhang Australia 20 167 0.3× 220 0.5× 199 0.5× 37 0.3× 48 0.4× 62 1.2k

Countries citing papers authored by Ling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Ding. A scholar is included among the top collaborators of Ling Ding 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 Ding. Ling Ding 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.
Ding, Ling, et al.. (2025). Topology-informed deep learning for pavement crack detection: Preserving consistent crack structure and connectivity. Automation in Construction. 174. 106120–106120. 4 indexed citations
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Zhang, Jianqi, et al.. (2024). Vision-guided robot for automated pixel-level pavement crack sealing. Automation in Construction. 168. 105783–105783. 9 indexed citations
5.
Yang, Xu, et al.. (2024). Self-adaptive 2D 3D image fusion for automated pixel-level pavement crack detection. Automation in Construction. 168. 105756–105756. 8 indexed citations
6.
Yao, Ziwei, Dewei Li, Ziwen Chang, et al.. (2024). Selective anchoring of phosphate groups coupled with swift interlayer cation exchange for record-high capacity cobalt adsorption. Resources Conservation and Recycling. 212. 108005–108005. 2 indexed citations
7.
Cai, Zhi-Bin, Shengli Li, Shuangshuang Liu, et al.. (2022). Novel red light-emitting two-photon absorption compounds with large Stokes shifts for living cell imaging. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 282. 121660–121660. 3 indexed citations
8.
Mao, Wentao, Ling Ding, Yamin Liu, Sajad Saraygord Afshari, & Xihui Liang. (2021). A new deep domain adaptation method with joint adversarial training for online detection of bearing early fault. ISA Transactions. 122. 444–458. 36 indexed citations
9.
Ding, Ling, et al.. (2020). A Lane Detection Method Based on Semantic Segmentation. Computer Modeling in Engineering & Sciences. 122(3). 1039–1053. 11 indexed citations
10.
Mao, Wentao, et al.. (2020). A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 84 indexed citations
11.
Mao, Wentao, Ling Ding, Siyu Tian, & Xihui Liang. (2019). Online detection for bearing incipient fault based on deep transfer learning. Measurement. 152. 107278–107278. 101 indexed citations
12.
Mao, Wentao, Yamin Liu, Ling Ding, & Yuan Li. (2019). Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study. IEEE Access. 7. 9515–9530. 219 indexed citations breakdown →
13.
Wang, X., et al.. (2018). NEAR REAL-TIME GEOREFERENCE OF UMANNED AERIAL VEHICLE IMAGES FOR POST-EARTHQUAKE RESPONSE. SHILAP Revista de lepidopterología. XLII-3. 1773–1776. 3 indexed citations
14.
Ding, Ling, et al.. (2018). THE DETERMINATION METHOD OF EXTREME EARTHQUAKE DISASTER AREA BASED ON THE DUST DETECTION RESULT FROM GF-4 DATA. SHILAP Revista de lepidopterología. XLII-3. 309–312. 1 indexed citations
15.
Ding, Ling & Jinxi Wu. (2017). Innovation Ecosystem of CNG Vehicles: A Case Study of Its Cultivation and Characteristics in Sichuan, China. Sustainability. 10(1). 39–39. 26 indexed citations
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Lü, Yi, Ying Wang, & Ling Ding. (2014). Type synthesis of four-degree-of-freedom parallel mechanisms using valid arrays and topological graphs with digits. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 228(16). 3039–3053. 7 indexed citations
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Zhang, Xiaotong, Ling Ding, Zhaolin Sun, Lijuan Song, & Ting Sun. (2009). Study on Quantitative Structure–Retention Relationships for Hydrocarbons in FCC Gasoline. Chromatographia. 70(3-4). 511–518. 13 indexed citations
20.
Ding, Ling. (2000). Generalized Predictive Control of Main/Flap Rudders for Ship Course-keeping. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University. 2 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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