Yang Lou

2.1k total citations
97 papers, 1.6k citations indexed

About

Yang Lou is a scholar working on Artificial Intelligence, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yang Lou has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Biomedical Engineering and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yang Lou's work include Metaheuristic Optimization Algorithms Research (19 papers), Complex Network Analysis Techniques (18 papers) and Evolutionary Algorithms and Applications (17 papers). Yang Lou is often cited by papers focused on Metaheuristic Optimization Algorithms Research (19 papers), Complex Network Analysis Techniques (18 papers) and Evolutionary Algorithms and Applications (17 papers). Yang Lou collaborates with scholars based in China, Hong Kong and United States. Yang Lou's co-authors include Guanrong Chen, Lin Wang, Kenneth S. K. Tung, Jiuyang Zhang, Huaizhi Liu, Shiu Yin Yuen, Mark A. Anastasio, Hedy Smith, Junli Li and Yumeng Xin and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Scientific Reports.

In The Last Decade

Yang Lou

92 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Lou China 22 328 316 282 278 266 97 1.6k
Rong Liu China 18 477 1.5× 136 0.4× 96 0.3× 50 0.2× 188 0.7× 102 1.8k
A. M. Ełaiw Saudi Arabia 35 292 0.9× 277 0.9× 711 2.5× 202 0.7× 128 0.5× 228 3.9k
Yongli Hu China 27 105 0.3× 98 0.3× 42 0.1× 108 0.4× 718 2.7× 238 3.2k
Marco H. Terra Brazil 26 270 0.8× 266 0.8× 94 0.3× 67 0.2× 431 1.6× 188 2.7k
Feng Lin Singapore 25 313 1.0× 117 0.4× 67 0.2× 25 0.1× 176 0.7× 142 2.0k
Guanjun Wang China 23 422 1.3× 273 0.9× 69 0.2× 154 0.6× 101 0.4× 133 2.3k
Cheng‐Chi Wang Taiwan 23 220 0.7× 81 0.3× 107 0.4× 170 0.6× 25 0.1× 147 2.2k
Shahin Nazarian United States 22 81 0.2× 420 1.3× 55 0.2× 58 0.2× 200 0.8× 101 1.8k
Gabriel A. Frank Israel 12 164 0.5× 42 0.1× 113 0.4× 25 0.1× 264 1.0× 22 2.1k
Hamid Alinejad‐Rokny Australia 22 115 0.4× 79 0.3× 33 0.1× 38 0.1× 635 2.4× 104 1.7k

Countries citing papers authored by Yang Lou

Since Specialization
Citations

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

Fields of papers citing papers by Yang Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Lou. A scholar is included among the top collaborators of Yang Lou 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 Yang Lou. Yang Lou 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.
Lou, Yang, Lin Wang, & Guanrong Chen. (2025). Toward robust network controllability: Insights and future directions. Europhysics Letters (EPL). 149(4). 41003–41003.
2.
Xia, Kun, et al.. (2024). A Rotary Wireless Power Transfer System With Rail-Type Coupling Structure. IEEE Access. 12. 63967–63975. 1 indexed citations
3.
Lou, Yang, et al.. (2024). A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network. IEEE Transactions on Cybernetics. 54(11). 6630–6642. 9 indexed citations
4.
Lou, Yang, Lin Wang, Shengli Xie, & Guanrong Chen. (2023). Approximating the Controllability Robustness of Directed Random-graph Networks Against Random Edge-removal Attacks. International Journal of Control Automation and Systems. 21(2). 376–388. 5 indexed citations
5.
Lou, Yang, et al.. (2023). Pyramid Pooling-based Local Profiles for Graph Classification. 4953–4960. 1 indexed citations
6.
Lou, Yang, et al.. (2023). SPP-CNN: An Efficient Framework for Network Robustness Prediction. IEEE Transactions on Circuits and Systems I Regular Papers. 70(10). 4067–4079. 10 indexed citations
8.
Lou, Yang, et al.. (2022). A Learning Convolutional Neural Network Approach for Network Robustness Prediction. IEEE Transactions on Cybernetics. 53(7). 4531–4544. 46 indexed citations
9.
Shi, Dinghua, Zhifeng Chen, X. H. Sun, et al.. (2021). Computing cliques and cavities in networks. Communications Physics. 4(1). 26 indexed citations
10.
Lou, Yang, et al.. (2021). Knowledge-Based Prediction of Network Controllability Robustness. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5739–5750. 34 indexed citations
11.
Lou, Yang, et al.. (2020). Predicting Network Controllability Robustness: A Convolutional Neural Network Approach. IEEE Transactions on Cybernetics. 52(5). 4052–4063. 61 indexed citations
12.
Lou, Yang, Lin Wang, Kim Fung Tsang, & Guanrong Chen. (2020). Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition. IEEE Transactions on Circuits and Systems I Regular Papers. 67(9). 3163–3174. 29 indexed citations
13.
Wang, Zhongjin, et al.. (2020). Model test on bearing characteristic of static drill rooted energy pile. Rock and Soil Mechanics. 41(10). 3307. 3 indexed citations
14.
Lou, Yang, et al.. (2019). Task-based image quality assessment in radiation therapy: initial characterization and demonstration with computer-simulation study. Physics in Medicine and Biology. 64(14). 145020–145020. 1 indexed citations
15.
Chen, Yujia, Yang Lou, Matthew A. Kupinski, & Mark A. Anastasio. (2017). Task-based data-acquisition optimization for sparse image reconstruction systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10136. 101360Z–101360Z. 4 indexed citations
16.
Lou, Yang & Jesse T. Yen. (2017). Improved contrast for high frame rate imaging using coherent compounding combined with spatial matched filtering. Ultrasonics. 78. 152–161. 4 indexed citations
17.
Lou, Yang, et al.. (2013). Opposition-based differential evolution with ordering strategy on elite individuals. Journal of Computer Information Systems. 9(23). 9421–9428. 2 indexed citations
18.
Lou, Yang, Junli Li, & Gang Li. (2012). A differential evolution algorithm based on individual-sorting and individual-sampling strategies. Journal of Computer Information Systems. 8(2). 717–725. 4 indexed citations
19.
Lou, Yang, et al.. (2012). A CoEvolutionary algorithm based on Elitism and Gravitational Evolution strategies. Journal of Computer Information Systems. 8(7). 2741–2750. 4 indexed citations
20.
Enelow, Richard I., et al.. (1998). Structural and functional consequences of alveolar cell recognition by CD8(+) T lymphocytes in experimental lung disease.. Journal of Clinical Investigation. 102(9). 1653–1661. 94 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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