Ling Ding

491 total citations
42 papers, 315 citations indexed

About

Ling Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Ling Ding has authored 42 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Media Technology. Recurrent topics in Ling Ding's work include Topic Modeling (10 papers), Advanced Graph Neural Networks (5 papers) and Cloud Computing and Resource Management (4 papers). Ling Ding is often cited by papers focused on Topic Modeling (10 papers), Advanced Graph Neural Networks (5 papers) and Cloud Computing and Resource Management (4 papers). Ling Ding collaborates with scholars based in China, New Zealand and Malaysia. Ling Ding's co-authors include Weikuan Jia, Dean Zhao, Jinchao Guan, Xiaoyun Cheng, Zhanping You, Mohd Rosli Mohd Hasan, Vincent C. S. Lee, Xu Yang, Yang Xiang and Xiaojun Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Information Sciences.

In The Last Decade

Ling Ding

36 papers receiving 297 citations

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 9 71 69 42 34 34 42 315
Ji-Won Baek South Korea 12 112 1.6× 46 0.7× 85 2.0× 84 2.5× 16 0.5× 41 416
Leonardo Gabrielli Italy 11 88 1.2× 56 0.8× 156 3.7× 11 0.3× 25 0.7× 57 473
Md. Al-Masrur Khan Bangladesh 8 55 0.8× 42 0.6× 54 1.3× 33 1.0× 18 0.5× 13 329
Mohamed R. Torkomany Egypt 4 67 0.9× 31 0.4× 40 1.0× 9 0.3× 22 0.6× 7 260
Li Gao China 13 148 2.1× 135 2.0× 59 1.4× 104 3.1× 38 1.1× 47 482
Hatem A. Fayed Egypt 8 174 2.5× 23 0.3× 87 2.1× 24 0.7× 30 0.9× 13 407
Korkut Bekiroglu United States 11 65 0.9× 17 0.2× 24 0.6× 25 0.7× 25 0.7× 38 411
G. Saranya India 11 117 1.6× 24 0.3× 67 1.6× 46 1.4× 14 0.4× 48 436

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). Reinforced logical reasoning over KGs for interpretable recommendation system. Machine Learning. 114(4).
2.
Yang, Xu, et al.. (2025). Forward Simulation of GPR Detection for Irregular Concealed Distresses of Road Pavement Based on the FDTD Method. Journal of Transportation Engineering Part B Pavements. 151(2).
3.
Ding, Ling, et al.. (2025). User group-enhanced user feature distribution transfer framework for non-overlapping cross-domain recommendations. Knowledge-Based Systems. 314. 113186–113186.
4.
5.
Ding, Ling, et al.. (2024). Domain Adversarial Active Learning for Domain Generalization Classification. IEEE Transactions on Knowledge and Data Engineering. 37(1). 226–238. 1 indexed citations
6.
7.
Ding, Ling, et al.. (2023). Event causality identification via graph contrast-based knowledge augmented networks. Information Sciences. 656. 119905–119905. 8 indexed citations
8.
Ding, Ling, et al.. (2023). Active diversification of head-class features in bilateral-expert models for enhanced tail-class optimization in long-tailed classification. Engineering Applications of Artificial Intelligence. 126. 106982–106982. 3 indexed citations
9.
10.
Chen, Xiaojun, Shengbin Jia, Ling Ding, & Yang Xiang. (2021). Reasoning over temporal knowledge graph with temporal consistency constraints. Journal of Intelligent & Fuzzy Systems. 40(6). 11941–11950. 5 indexed citations
11.
Qi, Yu, Ling Ding, Yueming Wang, & Gang Pan. (2021). Learning Robust Features From Nonstationary Brain Signals by Multiscale Domain Adaptation Networks for Seizure Prediction. IEEE Transactions on Cognitive and Developmental Systems. 14(3). 1208–1216. 19 indexed citations
12.
13.
Cai, Zhi-Bin, Ling Ding, Peihua Luo, et al.. (2020). Novel yellow- to red-emitting fluorophores: Facile synthesis, aggregation-induced emission, two-photon absorption properties, and application in living cell imaging. Dyes and Pigments. 185. 108849–108849. 1 indexed citations
14.
Xu, Xiaqing, Honggang Lou, Youyou Yan, et al.. (2020). Hyperglycemia decreases anti-cancer efficiency of adriamycin via AMPK pathway. Endocrine Related Cancer. 27(2). X3–X4. 2 indexed citations
15.
Chen, Xiaojun, Shengbin Jia, Ling Ding, Hong Shen, & Yang Xiang. (2020). SDT: An integrated model for open-world knowledge graph reasoning. Expert Systems with Applications. 162. 113889–113889. 12 indexed citations
16.
Ding, Ling, Huyin Zhang, Jinsheng Xiao, et al.. (2020). A comprehensive approach for road marking detection and recognition. Multimedia Tools and Applications. 79(23-24). 17193–17210. 8 indexed citations
17.
Jia, Weikuan, Dean Zhao, Ling Ding, & Yuanjie Zheng. (2019). A Reliable Small Sample Classification Algorithm by Elman Neural Network Based on PLS and GA. Journal of Classification. 36(2). 306–321. 3 indexed citations
18.
Ding, Ling, et al.. (2018). Improved Road Marking Detection and Recognition. 2. 247–252. 1 indexed citations
19.
Ding, Ling, Ping Tang, & Hong‐Yi Li. (2014). Subspace Feature Analysis of Local Manifold Learning for Hyperspectral Remote Sensing Images Classification. Applied Mathematics & Information Sciences. 8(4). 1987–1995. 3 indexed citations
20.

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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