Ding Liang

10.7k total citations · 3 hit papers
39 papers, 5.5k citations indexed

About

Ding Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ding Liang has authored 39 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Ding Liang's work include Advanced Neural Network Applications (9 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ding Liang is often cited by papers focused on Advanced Neural Network Applications (9 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ding Liang collaborates with scholars based in China, Hong Kong and Australia. Ding Liang's co-authors include Ping Luo, Enze Xie, Wenhai Wang, Xiang Li, Tong Lü, Ling Shao, Deng-Ping Fan, Kaitao Song, Xuebo Liu and Chunhua Shen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Ding Liang

32 papers receiving 5.4k citations

Hit Papers

align trajectories

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.

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

2021 3.0k citations Wenhai Wang, Enze Xie et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
PVT v2: Improved baselines with pyramid vision transformer

2022 1.3k citations Wenhai Wang, Enze Xie et al. Computational Visual Media profile →
PolarMask: Single Shot Instance Segmentation With Polar Representation

2020 431 citations Enze Xie, Peize Sun et al. The HKU Scholars Hub (University of Hong Kong) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ding Liang China	15	3.7k	1.4k	969	501	497	39	5.5k
Kaitao Song China	11	3.0k 0.8×	1.2k 0.8×	853 0.9×	418 0.8×	441 0.9×	27	4.5k
Enze Xie China	21	4.8k 1.3×	1.6k 1.1×	1.6k 1.6×	586 1.2×	520 1.0×	32	6.6k
Qilong Wang China	21	4.3k 1.2×	1.9k 1.3×	1.2k 1.2×	648 1.3×	575 1.2×	67	7.3k
Zhuang Liu China	16	4.5k 1.2×	2.7k 1.9×	756 0.8×	537 1.1×	706 1.4×	27	7.5k
Chunjing Xu China	23	4.4k 1.2×	1.4k 1.0×	1.2k 1.2×	588 1.2×	284 0.6×	63	6.3k
Yunhe Wang China	29	5.0k 1.3×	2.0k 1.4×	1.3k 1.4×	571 1.1×	378 0.8×	88	7.4k
Priya Goyal India	5	3.2k 0.9×	1.6k 1.1×	676 0.7×	742 1.5×	671 1.4×	9	6.3k
Chao-Yuan Wu United States	14	3.0k 0.8×	2.1k 1.5×	537 0.6×	320 0.6×	549 1.1×	20	5.8k
Kai Han China	21	3.1k 0.8×	1.1k 0.8×	652 0.7×	474 0.9×	268 0.5×	48	5.0k

Countries citing papers authored by Ding Liang

Since Specialization

Citations

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

Fields of papers citing papers by Ding Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Liang

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

Sun, Zhenzhu, Xinyu Wu, Ding Liang, et al.. (2025). α‐Ketoglutarate inhibits the pluripotent‐to‐totipotent state transition in stem cells. FEBS Journal. 292(9). 2398–2409. 1 indexed citations

Liu, Yuefeng, et al.. (2025). Battery state of health estimation using a novel BiLSTM-Mamba2 network with differential voltage features and transfer learning. Journal of Energy Storage. 110. 115347–115347. 8 indexed citations

Liang, Ding, et al.. (2024). Text Font Correction and Alignment Method for Scene Text Recognition. Sensors. 24(24). 7917–7917. 2 indexed citations

Liang, Ding, et al.. (2024). SEDN: A Spatiotemporal Encoder-Decoder Network for End-to-End Object Removal Forgery Detection in High-Resolution Videos. IEEE Transactions on Multimedia. 27. 2503–2515.

Wang, Xintong, et al.. (2024). Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. 15840–15853. 10 indexed citations

Chen, Shoufa, Enze Xie, Chongjian Ge, et al.. (2023). CycleMLP: A MLP-Like Architecture for Dense Visual Predictions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14284–14300. 61 indexed citations

Liang, Ding, et al.. (2023). SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 6443–6452. 2 indexed citations

Wang, Wenhai, Enze Xie, Xiang Li, et al.. (2022). PVT v2: Improved baselines with pyramid vision transformer. Computational Visual Media. 8(3). 415–424. 1259 indexed citations breakdown →

Zhuang, Peiqin, Zhipeng Yu, Luping Zhou, et al.. (2022). Action Recognition With Motion Diversification and Dynamic Selection. IEEE Transactions on Image Processing. 31. 4884–4896. 4 indexed citations

10.

Wang, Wenhai, Enze Xie, Xiang Li, et al.. (2021). Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 548–558. 3008 indexed citations breakdown →

11.

Xie, Enze, Peize Sun, Wenhai Wang, et al.. (2020). PolarMask: Single Shot Instance Segmentation With Polar Representation. The HKU Scholars Hub (University of Hong Kong). 12190–12199. 431 indexed citations breakdown →

12.

Guo, Qiushan, Xinjiang Wang, Yichao Wu, et al.. (2020). Online Knowledge Distillation via Collaborative Learning. The HKU Scholars Hub (University of Hong Kong). 11017–11026. 192 indexed citations

13.

Liang, Ding, et al.. (2013). Design and Realization of a Wireless Data Acquisition System Based on Multi-Nodes and Multi-Base-Stations. Applied Mechanics and Materials. 461. 581–588. 2 indexed citations

14.

Liang, Ding, Yongping Zhang, & Xueying Zhang. (2011). An approach to retinal image segmentations using fuzzy clustering in combination with morphological filters. Chinese Control Conference. 3062–3065. 2 indexed citations

15.

Wang, Xue, Ding Liang, & Sheng Wang. (2011). Trust Evaluation Sensing for Wireless Sensor Networks. IEEE Transactions on Instrumentation and Measurement. 60(6). 2088–2095. 24 indexed citations

16.

Wang, Xue, Ding Liang, & Daowei Bi. (2009). Reputation-Enabled Self-Modification for Target Sensing in Wireless Sensor Networks. IEEE Transactions on Instrumentation and Measurement. 59(1). 171–179. 26 indexed citations

17.

Wang, Xue, Daowei Bi, Ding Liang, & Sheng Wang. (2008). Bootstrap Gaussian Process classifiers for rotating machinery anomaly detection. 7. 1129–1134. 1 indexed citations

18.

Wang, Xue, Daowei Bi, Ding Liang, & Sheng Wang. (2008). Bidding and Voting Strategy for Energy Efficient Collaborative Target Classification in Wireless Sensor Networks. 67. 23–27.

19.

Wang, Xue, et al.. (2007). Multi-agent Negotiation Mechanisms for Statistical Target Classification in Wireless Multimedia Sensor Networks. Sensors. 7(10). 2201–2237. 4 indexed citations

20.

Wang, Xue, Sheng Wang, Daowei Bi, Ding Liang, & Junjie Ma. (2007). Collaborative Peer-to-Peer Training and Target Classification in Wireless Sensor Networks. 208–213. 1 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.

Explore authors with similar magnitude of impact