Minglong Lei

550 total citations
28 papers, 343 citations indexed

About

Minglong Lei is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minglong Lei has authored 28 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Statistical and Nonlinear Physics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minglong Lei's work include Advanced Graph Neural Networks (13 papers), Complex Network Analysis Techniques (9 papers) and Topic Modeling (4 papers). Minglong Lei is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Complex Network Analysis Techniques (9 papers) and Topic Modeling (4 papers). Minglong Lei collaborates with scholars based in China, United States and Australia. Minglong Lei's co-authors include Yong Shi, Junzhong Ji, Pei Quan, Lingfeng Niu, Yi Qu, Yang Xiao, Jia Li, Hong Yang, Rongrong Ma and Jinduo Liu and has published in prestigious journals such as IEEE Access, Pattern Recognition and Information Sciences.

In The Last Decade

Minglong Lei

24 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minglong Lei China 11 205 60 48 46 39 28 343
Bingbing Xu China 8 197 1.0× 65 1.1× 10 0.2× 49 1.1× 44 1.1× 18 303
Sen Wu China 5 133 0.6× 41 0.7× 5 0.1× 30 0.7× 49 1.3× 14 291
Longfei Li China 9 323 1.6× 70 1.2× 8 0.2× 99 2.2× 38 1.0× 28 432
Jian Kang United States 10 237 1.2× 52 0.9× 4 0.1× 82 1.8× 53 1.4× 41 375
James Atwood United States 4 217 1.1× 103 1.7× 3 0.1× 46 1.0× 71 1.8× 7 360
Anurag Sharma Fiji 9 149 0.7× 36 0.6× 7 0.1× 41 0.9× 5 0.1× 34 312
Michele Donini Italy 13 230 1.1× 117 1.9× 5 0.1× 21 0.5× 11 0.3× 36 417
Francisco J. Valverde-Albacete Spain 10 188 0.9× 64 1.1× 5 0.1× 67 1.5× 8 0.2× 38 391

Countries citing papers authored by Minglong Lei

Since Specialization
Citations

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

Fields of papers citing papers by Minglong Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglong Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Minglong Lei. A scholar is included among the top collaborators of Minglong Lei 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 Minglong Lei. Minglong Lei 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.
Niu, Lingfeng, et al.. (2024). A Brief Survey on Graph Anomaly Detection. Procedia Computer Science. 242. 1263–1270.
2.
Ji, Junzhong, et al.. (2024). Spatio-Temporal Transformer Network for Weather Forecasting. IEEE Transactions on Big Data. 11(2). 372–387. 10 indexed citations
3.
4.
Ji, Junzhong, et al.. (2024). Latent diffusion transformer for point cloud generation. The Visual Computer. 40(6). 3903–3917. 4 indexed citations
5.
Lei, Minglong, et al.. (2024). A unified pre-training and adaptation framework for combinatorial optimization on graphs. Science China Mathematics. 67(6). 1439–1456.
6.
Niu, Lingfeng, et al.. (2023). Two-level adversarial attacks for graph neural networks. Information Sciences. 654. 119877–119877. 2 indexed citations
7.
Ji, Junzhong, et al.. (2023). Supervised Contrastive Learning With Structure Inference for Graph Classification. IEEE Transactions on Network Science and Engineering. 10(3). 1684–1695. 11 indexed citations
8.
Ji, Junzhong, et al.. (2022). Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7871–7883. 20 indexed citations
9.
Ji, Junzhong, et al.. (2022). Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems. 1–14. 20 indexed citations
10.
Liu, Jiabin, Biao Li, Minglong Lei, & Yong Shi. (2022). Self-supervised knowledge distillation for complementary label learning. Neural Networks. 155. 318–327. 10 indexed citations
11.
Xiao, Yang, Pei Quan, Minglong Lei, & Lingfeng Niu. (2022). Latent neighborhood-based heterogeneous graph representation. Neural Networks. 154. 413–424. 7 indexed citations
12.
Quan, Pei, et al.. (2022). Optimal Transport Guided Node Classification in Cross Networks. Procedia Computer Science. 214. 1160–1167. 1 indexed citations
13.
Ji, Junzhong, et al.. (2022). FC–HAT: Hypergraph attention network for functional brain network classification. Information Sciences. 608. 1301–1316. 40 indexed citations
14.
Li, Jia & Minglong Lei. (2022). A Brief Survey for Fake News Detection via Deep Learning Models. Procedia Computer Science. 214. 1339–1344. 14 indexed citations
15.
Ji, Junzhong, Liang Ye, & Minglong Lei. (2021). Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks. 142. 522–533. 7 indexed citations
16.
Shi, Yong, Yang Xiao, Pei Quan, Minglong Lei, & Lingfeng Niu. (2021). Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognition Letters. 149. 150–156. 15 indexed citations
17.
Yang, Hong, Ling Chen, Minglong Lei, et al.. (2020). Discrete Embedding for Latent Networks. 1223–1229. 5 indexed citations
18.
Shi, Yong, Yang Xiao, Pei Quan, Minglong Lei, & Lingfeng Niu. (2020). Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks. 134. 42–53. 28 indexed citations
19.
Quan, Pei, Yong Shi, Minglong Lei, et al.. (2019). A Brief Review of Receptive Fields in Graph Convolutional Networks. 106–110. 9 indexed citations
20.
Shi, Yong, Minglong Lei, Rongrong Ma, & Lingfeng Niu. (2019). Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access. 7. 17195–17206. 8 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

Breakdown of academic impact, for papers by Bingbing Xu Breakdown of academic impact, for papers by Sen Wu Breakdown of academic impact, for papers by Longfei Li Breakdown of academic impact, for papers by Jian Kang Breakdown of academic impact, for papers by James Atwood Breakdown of academic impact, for papers by Anurag Sharma Breakdown of academic impact, for papers by Michele Donini Breakdown of academic impact, for papers by Francisco J. Valverde-Albacete
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