Lin Meng

3.3k citations

185 papers · 2.1k indexed · 1 hit paper · h-index 23

Impact in

Computer Vision and Pattern Recognition top 1%
- Advanced Neural Network Applications
- Handwritten Text Recognition Techniques
- Context-Aware Activity Recognition Systems
Computer Networks and Communications top 5%
- IoT and Edge/Fog Computing

Papers in ⓘ

Computer Vision and Pattern Recognition 88
- Handwritten Text Recognition Techniques 25
- Advanced Neural Network Applications 21
- Image Processing and 3D Reconstruction 19
- Advanced Image and Video Retrieval Techniques 14
- Currency Recognition and Detection 12
Artificial Intelligence 40
- Anomaly Detection Techniques and Applications 18

Co-authors: Hengyi Li (31 shared papers)Xuebin Yue (30 shared papers)Hiroyuki Tomiyama (36 shared papers)Zhuo Li (12 shared papers)Xiangbo Kong (18 shared papers)Feng Zeng (4 shared papers)Jinsong Wu (1 shared paper)Zhichen Wang (9 shared papers)
Journals: IEEE Access (6 papers)Applied Intelligence (5 papers)International Journal of Embedded Systems (4 papers)Biomedical Signal Processing and Control (3 papers)Sensors (3 papers)
Partner nations: Japan China United States

In The Last Decade

Lin Meng

161 papers receiving 2.0k citations

Hit Papers

align trajectories log scale

Model Compression for Deep Neural Networks: A Survey 2023 · 126 citations

Peers

Countries citing papers authored by Lin Meng

Since Specialization

Citations

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

Fields of papers citing papers by Lin Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lin Meng Line = papers co-authored together Lin Meng links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing IEEE Transactions on Intelligent Transportation Systems ·Feng Zeng, Qiao Chen, Lin Meng, Jinsong Wu	2020	129
2	Model Compression for Deep Neural Networks: A Survey Computers ·Zhuo Li, Hengyi Li, Lin Meng Hit paper breakdown →	2023	126
3	Underwater-Drone With Panoramic Camera for Automatic Fish Recognition Based on Deep Learning IEEE Access ·Lin Meng, Takuma Hirayama, Shigeru Oyanagi	2018	120
4	The role of mitochondria in bee venom-induced apoptosis in human breast cancer MCF7 cells. PubMed ·Siu Wan Ip, Shin Shin Liao, Shuw Yuan Lin, Jing Lin, Jai‐Sing Yang, Meng Lin, Guang Wei Chen, Hsu Feng Lu, Lin Meng, Sang Mi Han, Jing‐Gung Chung	2008	114
5	Gossip versus Deterministic Flooding: Low Message Overhead and High Reliability for Broadcasting on Small Networks Lin Meng, Keith Marzullo, Stefano Masini	1999	69
6	Accurate segmentation of breast tumors using AE U-net with HDC model in ultrasound images Biomedical Signal Processing and Control ·Yu Yan, Yangyang Liu, Yiyun Wu, Hong Zhang, Yameng Zhang, Lin Meng	2021	68
7	Machine learning-based real-time visible fatigue crack growth detection Digital Communications and Networks ·Le Zhang, Zhichen Wang, Lei Wang, Zhe Zhang, Chen Xu, Lin Meng	2021	65
8	Evaluating the performance of a deep learning‐based computer‐aided diagnosis (DL‐CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists Thoracic Cancer ·Li Li, Zhou Liu, Hua Huang, Lin Meng, Dehong Luo	2018	59
9	YOLO-GD: A Deep Learning-Based Object Detection Algorithm for Empty-Dish Recycling Robots Machines ·Xuebin Yue, Hengyi Li, Masao Shimizu, Sadao Kawamura, Lin Meng	2022	51
10	Gypenosides inhibited invasion and migration of human tongue cancer SCC4 cells through down-regulation of NFkappaB and matrix metalloproteinase-9. PubMed ·Kung Wen Lu, Ming Li Tsai, Jung Chou Chen, Shu Chun Hsu, Te Chun Hsia, Lin Meng, An Huang, Yung Chang, Siu Wan Ip, Hsu Feng Lu, Jing‐Gung Chung	2008	47
11	A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor Procedia Computer Science ·Xiangbo Kong, Zelin Meng, Naoto Nojiri, Yuji Iwahori, Lin Meng, Hiroyuki Tomiyama	2019	43
12	Improved U-net MALF model for lesion segmentation in breast ultrasound images Biomedical Signal Processing and Control ·Ying Tong, Yangyang Liu, Manxue Zhao, Lin Meng, Jiachao Zhang	2021	40
13	Crude extracts of Solanum lyratum induced cytotoxicity and apoptosis in a human colon adenocarcinoma cell line (colo 205). PubMed ·Shu Chun Hsu, Jih Hung Lu, Chao Lin Kuo, Jai‐Sing Yang, Lin Meng, Guang Wei Chen, Chin Cheng Su, Hsu Fung Lu, Jing‐Gung Chung	2008	38
14	Methylmercury-induced testis damage is associated with activation of oxidative stress and germ cell autophagy Journal of Inorganic Biochemistry ·Na Chen, Lin Meng, Na Liu, Shanshan Wang, Xianjin Xiao	2018	36
15	An architecture-level analysis on deep learning models for low-impact computations Artificial Intelligence Review ·Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama, Lin Meng	2022	33
16	Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition Journal on Computing and Cultural Heritage ·Xuebin Yue, Hengyi Li, Yoshiyuki Fujikawa, Lin Meng	2022	33
17	A Low-Cost Edge Server Placement Strategy in Wireless Metropolitan Area Networks Yongzheng Ren, Feng Zeng, Wenjia Li, Lin Meng	2018	29
18	A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning IEEE Access ·Yuanqi Zeng, Meiqin Gong, Lin Meng, Dongrui Gao, Yongqing Zhang	2020	29
19	Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models Yoshiyuki Fujikawa, Hengyi Li, Xuebin Yue, C. V. Aravinda, G. Amar Prabhu, Lin Meng	2022	28
20	An Ultralightweight Object Detection Network for Empty-Dish Recycling Robots IEEE Transactions on Instrumentation and Measurement ·Xuebin Yue, Hengyi Li, Lin Meng	2023	25

About Lin Meng

Lin Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering and Electrical and Electronic Engineering, having authored 185 papers that have together received 2.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (25 papers), Advanced Neural Network Applications (21 papers), Image Processing and 3D Reconstruction (19 papers), Anomaly Detection Techniques and Applications (18 papers), Industrial Vision Systems and Defect Detection (16 papers), Gait Recognition and Analysis (14 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Currency Recognition and Detection (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (735 citations), Computer Networks and Communications (368 citations), Artificial Intelligence (457 citations), Industrial and Manufacturing Engineering (135 citations) and Health Informatics (18 citations). Lin Meng has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hengyi Li, Xuebin Yue, Hiroyuki Tomiyama, Zhuo Li, Xiangbo Kong, Feng Zeng, Jinsong Wu, Zhichen Wang, Keith Marzullo and Yangyang Liu. Their work appears in journals such as IEEE Access, Applied Intelligence, International Journal of Embedded Systems, Biomedical Signal Processing and Control and Sensors.

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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