Min Deng

6.3k total citations · 1 hit paper
176 papers, 4.3k citations indexed

About

Min Deng is a scholar working on Signal Processing, Transportation and Geography, Planning and Development. According to data from OpenAlex, Min Deng has authored 176 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Signal Processing, 49 papers in Transportation and 39 papers in Geography, Planning and Development. Recurrent topics in Min Deng's work include Data Management and Algorithms (49 papers), Geographic Information Systems Studies (39 papers) and Human Mobility and Location-Based Analysis (38 papers). Min Deng is often cited by papers focused on Data Management and Algorithms (49 papers), Geographic Information Systems Studies (39 papers) and Human Mobility and Location-Based Analysis (38 papers). Min Deng collaborates with scholars based in China, Hong Kong and United States. Min Deng's co-authors include Haifeng Li, Ling Zhao, Yu Liu, Pu Wang, Tao Lin, Chao Zhang, Qiliang Liu, Yan Shi, Jianbo Tang and Jie Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Min Deng

160 papers receiving 4.2k citations

Hit Papers

T-GCN: A Temporal Graph Convolutional Network for Traffic... 2019 2026 2021 2023 2019 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Deng China 26 1.7k 1.6k 762 681 650 176 4.3k
Haifeng Li China 38 2.0k 1.1× 1.4k 0.9× 2.0k 2.6× 490 0.7× 914 1.4× 217 7.6k
Ryosuke Shibasaki Japan 46 1.1k 0.6× 1.8k 1.1× 892 1.2× 391 0.6× 276 0.4× 463 7.2k
Jinjun Tang China 39 2.2k 1.3× 2.4k 1.5× 377 0.5× 301 0.4× 1.3k 2.0× 182 5.0k
Chen Chen China 48 864 0.5× 375 0.2× 1.6k 2.1× 231 0.3× 772 1.2× 401 7.7k
Pu Wang China 23 2.3k 1.3× 3.2k 2.0× 549 0.7× 475 0.7× 786 1.2× 77 5.3k
Zhu Xiao China 39 630 0.4× 579 0.4× 1.2k 1.5× 410 0.6× 319 0.5× 302 5.4k
Ram Rajagopal United States 43 1.3k 0.8× 495 0.3× 588 0.8× 207 0.3× 1.3k 1.9× 241 6.5k
Jing Jiang Australia 20 1.8k 1.1× 1.2k 0.7× 2.2k 2.9× 775 1.1× 717 1.1× 91 5.2k
Haiyang Yu China 25 2.3k 1.3× 1.8k 1.1× 441 0.6× 292 0.4× 1.5k 2.4× 124 4.8k

Countries citing papers authored by Min Deng

Since Specialization
Citations

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

Fields of papers citing papers by Min Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Min Deng. A scholar is included among the top collaborators of Min Deng 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 Min Deng. Min Deng 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.
Tang, Jianbo, et al.. (2024). Statistical and density-based clustering of geographical flows for crowd movement patterns recognition. Applied Soft Computing. 163. 111912–111912. 2 indexed citations
2.
Liu, Baoju, et al.. (2024). Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation. Journal of Transport Geography. 116. 103836–103836. 4 indexed citations
3.
Liu, Zhankun, et al.. (2024). Local phase-constrained convolutional autoencoder network for identifying multivariate geochemical anomalies. Computers & Geosciences. 191. 105679–105679. 2 indexed citations
4.
Guo, Yiwen, Jianbo Tang, Hui Li, Xuexi Yang, & Min Deng. (2024). Identifying up-to-date urban land-use patterns with visual and semantic features based on multisource geospatial data. Sustainable Cities and Society. 101. 105184–105184. 20 indexed citations
5.
Zhao, Bin, et al.. (2024). Spatio-Temporal Heterogeneous Ensemble Learning Method for Predicting Land Subsidence. Applied Sciences. 14(18). 8330–8330. 2 indexed citations
6.
7.
Chen, Jie, Ya Guo, Liang Hong, et al.. (2024). Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery Based on Decoupling Style and Semantic Features. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 10 indexed citations
8.
Zang, Ying, Jie Wang, Xiuhong Wu, et al.. (2023). The Analysis and Rapid Non-Destructive Evaluation of Yongchuan Xiuya Quality Based on NIRS Combined with Machine Learning Methods. Processes. 11(9). 2809–2809. 4 indexed citations
9.
Tang, Jianbo, et al.. (2020). A method for recognizing building clusters by considering functional features of buildings. SHILAP Revista de lepidopterología. 6 indexed citations
10.
Tu, Wei, Ke Mai, Yatao Zhang, et al.. (2020). Real-Time Route Recommendations for E-Taxies Leveraging GPS Trajectories. IEEE Transactions on Industrial Informatics. 17(5). 3133–3142. 23 indexed citations
11.
Volkamer, Rainer, Natalie Kille, Christopher H. T. Lee, et al.. (2019). The BB-FLUX Project: How Much Fuel Goes up in Smoke?. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
12.
Zhao, Ling, et al.. (2018). Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method.. arXiv (Cornell University). 24 indexed citations
13.
He, Zhanjun, et al.. (2016). A Multi-scale Method for Mining Significant Spatial Co-location Patterns. SHILAP Revista de lepidopterología.
14.
Tang, Jianbo, et al.. (2016). A Permutation Test for Identifying Significant Clusters in Spatial Dataset. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Cai, Jiannan, et al.. (2016). An Adaptive Method for Mining Hierarchical Spatial Co-location Patterns. SHILAP Revista de lepidopterología.
16.
Fan, Zide, et al.. (2016). A Space-time Interpolation Method of Missing Data Based on Spatio-temporal Heterogeneity. Acta Geodaetica et Cartographica Sinica. 45(4). 458. 5 indexed citations
17.
Deng, Min, et al.. (2013). Detailed review on geo-spatial data inconsistency detecting and handling. Computer Engineering and Applications Journal. 49(10). 150–155. 1 indexed citations
18.
Deng, Min. (2009). Spatial outliers detection considering distances among their neighbors. National Remote Sensing Bulletin. 1 indexed citations
19.
Deng, Min. (2006). A Generic Model of Line/Line Topological Relations in GIS. Wuhan Daxue xuebao. Xinxi kexue ban.
20.
Deng, Min. (2005). Recent development of consolidation theories of unsaturated soils. Rock and Soil Mechanics. 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

Rankless by CCL
2026