Mingming Lu

7.4k total citations · 4 hit papers
90 papers, 4.6k citations indexed

About

Mingming Lu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mingming Lu has authored 90 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 18 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Mingming Lu's work include Electromagnetic wave absorption materials (11 papers), Mobile Ad Hoc Networks (11 papers) and Indoor and Outdoor Localization Technologies (10 papers). Mingming Lu is often cited by papers focused on Electromagnetic wave absorption materials (11 papers), Mobile Ad Hoc Networks (11 papers) and Indoor and Outdoor Localization Technologies (10 papers). Mingming Lu collaborates with scholars based in China, United States and South Korea. Mingming Lu's co-authors include Mao‐Sheng Cao, Wen‐Qiang Cao, Jie Yuan, Haibo Jin, Wenzhong Wang, Honglong Shi, Xiao‐Yong Fang, Xixi Wang, Bo Wen and Jia Liu and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Nature Communications.

In The Last Decade

Mingming Lu

83 papers receiving 4.5k citations

Hit Papers

Reduced Graphene Oxides: Light‐Weight and High‐Efficiency... 2014 2026 2018 2022 2014 2014 2015 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingming Lu China 28 3.0k 2.5k 685 671 415 90 4.6k
Jianxin Wang China 47 435 0.1× 977 0.4× 1.2k 1.8× 2.7k 4.0× 2.4k 5.8× 348 7.7k
Yukun Zhu China 37 495 0.2× 482 0.2× 1.6k 2.3× 1.9k 2.8× 264 0.6× 95 5.6k
Xu Li China 36 959 0.3× 230 0.1× 2.5k 3.7× 2.3k 3.4× 1.3k 3.1× 172 4.3k
Zilei Wang China 31 788 0.3× 104 0.0× 1.2k 1.8× 297 0.4× 412 1.0× 152 4.2k
Bo Yuan China 34 260 0.1× 167 0.1× 777 1.1× 545 0.8× 1.3k 3.2× 218 4.4k
Bin He China 26 196 0.1× 397 0.2× 358 0.5× 103 0.2× 824 2.0× 213 2.5k
Hyunsun A. Kim United Kingdom 32 173 0.1× 631 0.3× 607 0.9× 480 0.7× 1.1k 2.6× 149 4.1k
Muhammad Zeeshan Shakir United Kingdom 23 323 0.1× 738 0.3× 1.9k 2.8× 245 0.4× 193 0.5× 124 2.7k
Tao Jiang China 29 143 0.0× 1.0k 0.4× 1.3k 2.0× 189 0.3× 312 0.8× 238 2.8k
Yongxin Liu China 27 106 0.0× 478 0.2× 702 1.0× 386 0.6× 169 0.4× 180 2.8k

Countries citing papers authored by Mingming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingming Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingming Lu. A scholar is included among the top collaborators of Mingming Lu 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 Mingming Lu. Mingming Lu 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.
Zou, Hao, Haochen Zhao, Mingming Lu, et al.. (2025). Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration. Nature Communications. 16(1). 203–203. 8 indexed citations
2.
Lu, Mingming, et al.. (2025). CMBA-FL: Communication-mitigated and blockchain-assisted federated learning for traffic flow predictions. Digital Communications and Networks. 11(3). 724–733. 1 indexed citations
3.
Lu, Mingming, et al.. (2024). Heterogeneous Graph Neural Network for Fashion Outfit Compatibility Prediction. Journal of Computer-Aided Design & Computer Graphics. 36(9). 1351–1361.
4.
Weng, Chuanxin, Junzhe He, Jiangxiao Tian, et al.. (2024). Ultrathin MWCNT/Ti3C2Tx Hybrid Films for Electromagnetic Interference Shielding. Nanomaterials. 15(1). 6–6. 1 indexed citations
5.
Chen, Fengjiao, et al.. (2023). Relationships between lightning occurrence and summer precipitation characteristics over china observed by GPM core observatory. Atmospheric Research. 286. 106665–106665. 3 indexed citations
6.
Zou, Hao, Ligang Zhang, Renhao Xue, et al.. (2023). Integrating machine learning and CALPHAD method for exploring low‐modulus near‐β‐Ti alloys. Rare Metals. 43(1). 309–323. 25 indexed citations
7.
Xiong, Naixue, et al.. (2023). A Survey of Weakly-supervised Semantic Segmentation. 10–15. 11 indexed citations
8.
Lu, Mingming, et al.. (2022). PGAN framework for synthesizing sensor data privately. Journal of Information Security and Applications. 67. 103204–103204. 1 indexed citations
9.
Zhang, Yang, Zhen Wang, Ting Yu, et al.. (2022). Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks. 2022 IEEE International Conference on Big Data (Big Data). 6847–6849.
10.
Zhu, Suling, et al.. (2022). CEEMD-MR-hybrid model based on sample entropy and random forest for SO2 prediction. Atmospheric Pollution Research. 13(3). 101358–101358. 10 indexed citations
12.
Gao, Jianliang, et al.. (2021). Higher-order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification. IEEE Transactions on Knowledge and Data Engineering. 1–1. 30 indexed citations
13.
Lu, Mingming, et al.. (2021). Student Program Classification Using Gated Graph Attention Neural Network. IEEE Access. 9. 87857–87868. 6 indexed citations
14.
Lu, Mingming, et al.. (2019). Hyperbolic Function Embedding: Learning Hierarchical Representation for Functions of Source Code in Hyperbolic Space. Symmetry. 11(2). 254–254. 6 indexed citations
15.
Liu, Zhi‐Qiang, Mingming Lu, Feng Cheng, et al.. (2018). Significant improvement of the nitrilase activity by semi-rational protein engineering and its application in the production of iminodiacetic acid. International Journal of Biological Macromolecules. 116. 563–571. 41 indexed citations
16.
Xie, Bo, Kongyang Chen, Guang Tan, et al.. (2016). LIPS. ACM Transactions on Sensor Networks. 12(4). 1–27. 66 indexed citations
17.
Lu, Mingming, Xixi Wang, Wen‐Qiang Cao, Jie Yuan, & Mao‐Sheng Cao. (2015). Carbon nanotube-CdS core–shell nanowires with tunable and high-efficiency microwave absorption at elevated temperature. Nanotechnology. 27(6). 65702–65702. 124 indexed citations
18.
Tan, Guang, et al.. (2013). Bumping: A Bump-Aided Inertial Navigation Method for Indoor Vehicles Using Smartphones. IEEE Transactions on Parallel and Distributed Systems. 25(7). 1670–1680. 25 indexed citations
19.
Zhang, Desheng, Ye Li, Fan Zhang, et al.. (2013). coRide. 1–14. 47 indexed citations
20.
Lu, Mingming, et al.. (1995). SO2 emission scenarios of Eastern China. Water Air & Soil Pollution. 85(4). 1873–1878. 10 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.

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