Yunji Liang

1.5k total citations
49 papers, 903 citations indexed

About

Yunji Liang is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yunji Liang has authored 49 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Yunji Liang's work include Topic Modeling (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Yunji Liang is often cited by papers focused on Topic Modeling (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Yunji Liang collaborates with scholars based in China, United States and France. Yunji Liang's co-authors include Zhiwen Yu, Bin Guo, Xiaolong Zheng, Xingshe Zhou, Daniel Zeng, Sagar Samtani, Wingyan Chung, Scott J. Leischow, Lina Yao and Daqing Zhang and has published in prestigious journals such as Scientific Reports, ACM Computing Surveys and Information Sciences.

In The Last Decade

Yunji Liang

46 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yunji Liang China	14	245	237	199	171	145	49	903
Reza Rawassizadeh United States	17	331 1.4×	169 0.7×	145 0.7×	167 1.0×	78 0.5×	56	991
Jin-Hyuk Hong South Korea	20	480 2.0×	349 1.5×	164 0.8×	202 1.2×	130 0.9×	80	1.6k
Bongshin Lee United States	13	476 1.9×	225 0.9×	100 0.5×	131 0.8×	116 0.8×	20	1.3k
Timothy Sohn United States	11	187 0.8×	107 0.5×	157 0.8×	129 0.8×	115 0.8×	20	880
M. P. S. Bhatia India	19	165 0.7×	503 2.1×	332 1.7×	163 1.0×	152 1.0×	126	1.2k
Katayoun Farrahi United Kingdom	15	188 0.8×	126 0.5×	118 0.6×	107 0.6×	71 0.5×	37	816
Marcela D. Rodríguez Mexico	17	367 1.5×	115 0.5×	103 0.5×	222 1.3×	76 0.5×	63	898
Konrad Tollmar Sweden	18	390 1.6×	173 0.7×	97 0.5×	66 0.4×	166 1.1×	62	1.2k
Ombretta Gaggi Italy	16	206 0.8×	110 0.5×	171 0.9×	167 1.0×	161 1.1×	84	840
Mohammed Ali Al-Garadi United States	17	207 0.8×	750 3.2×	167 0.8×	167 1.0×	153 1.1×	45	1.4k

Countries citing papers authored by Yunji Liang

Since Specialization

Citations

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

Fields of papers citing papers by Yunji Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunji Liang

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

Tang, Lei, et al.. (2025). Optimizing Matching for On-Demand Ride-Pooling with Stochastic Day-to-Day Dynamics. ACM Transactions on Knowledge Discovery from Data. 19(4). 1–29.

Liang, Yunji, et al.. (2024). SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5713–5721. 25 indexed citations

Liang, Yunji, et al.. (2024). Cross-Modality 3D Multiobject Tracking Under Adverse Weather via Adaptive Hard Sample Mining. IEEE Internet of Things Journal. 11(14). 25268–25282. 6 indexed citations

Tang, Lei, et al.. (2024). Scenario-Based Accelerated Testing for SOTIF in Autonomous Driving: A Review. IEEE Internet of Things Journal. 12(2). 1453–1470. 4 indexed citations

Liang, Yunji, Zhiwen Yu, Lei Tang, et al.. (2024). Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving. ACM Transactions on Intelligent Systems and Technology. 15(3). 1–26. 1 indexed citations

Liang, Yunji, Lia Morra, Bin Guo, et al.. (2024). $\gamma$-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training. IEEE Transactions on Computational Social Systems. 12(3). 957–971. 1 indexed citations

Guo, Bin, et al.. (2024). Pioneering Cooperative Air-Ground Instant Delivery Using UAVs and Crowdsourced Couriers. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(4). 1–26. 1 indexed citations

Zhao, Kai, Zhiwen Yu, Hui Wang, et al.. (2024). Upper bound on the predictability of rating prediction in recommender systems. Information Processing & Management. 62(1). 103950–103950. 2 indexed citations

Guo, Bin, et al.. (2024). Cross-device free-text keystroke dynamics authentication using federated learning. Personal and Ubiquitous Computing. 28(3-4). 491–505. 1 indexed citations

10.

Liang, Yunji, et al.. (2023). Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–24. 1 indexed citations

11.

Liang, Yunji, et al.. (2023). Robust 3D Multi-Object Tracking in Adverse Weather with Hard Sample Mining. 4933–4940.

12.

Liang, Yunji, et al.. (2023). An Interpretable Image Denoising Framework via Dual Disentangled Representation Learning. IEEE Transactions on Intelligent Vehicles. 9(1). 2016–2030. 5 indexed citations

13.

Ke, Qiao, et al.. (2023). APGVAE: Adaptive disentangled representation learning with the graph-based structure information. Information Sciences. 657. 119903–119903. 34 indexed citations

14.

Liang, Zilu & Yunji Liang. (2023). A Study of Identification of Corporate Financial Fraud Using Neural Network Algorithms in an Information-based Environment. Informatica. 47(9). 1 indexed citations

15.

Ouyang, Yi, Bin Guo, Qianru Wang, Yunji Liang, & Zhiwen Yu. (2022). Learning Dynamic App Usage Graph for Next Mobile App Recommendation. IEEE Transactions on Mobile Computing. 22(8). 4742–4753. 12 indexed citations

16.

Liang, Yunji, et al.. (2022). An Escalated Eavesdropping Attack on Mobile Devices via Low-Resolution Vibration Signals. IEEE Transactions on Dependable and Secure Computing. 20(4). 3037–3050. 2 indexed citations

17.

Guo, Bin, et al.. (2022). MetaDetector: Meta Event Knowledge Transfer for Fake News Detection. ACM Transactions on Intelligent Systems and Technology. 13(6). 1–25. 13 indexed citations

18.

Tang, Lei, Chuanren Liu, Rongguo Zhang, Zongtao Duan, & Yunji Liang. (2021). Who Will Travel With Me? Personalized Ranking Using Attributed Network Embedding for Pooling. IEEE Transactions on Intelligent Transportation Systems. 23(8). 12311–12327. 2 indexed citations

19.

Zhang, Yixuan, Jiaqi Liu, Bin Guo, et al.. (2020). App Popularity Prediction by Incorporating Time-Varying Hierarchical Interactions. IEEE Transactions on Mobile Computing. 21(5). 1566–1579. 9 indexed citations

20.

Tang, Lei, Xingshe Zhou, Zhiwen Yu, et al.. (2011). MHS: A Multimedia System for Improving Medication Adherence in Elderly Care. IEEE Systems Journal. 5(4). 506–517. 30 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