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h5 指数:104
h5 中位数:179

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#20 Engineering & Computer Science (general)

标题/作者	引用次数	年份
A Comprehensive Survey on Transfer Learning F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong, Q He Proceedings of the IEEE 109 (1), 43-76	2930	2020
Graph Signal Processing: Overview, Challenges, and Applications A Ortega, P Frossard, J Kovačević, JMF Moura, P Vandergheynst Proceedings of the IEEE 106 (5), 808-828	1350	2018
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing Z Zhou, X Chen, E Li, L Zeng, K Luo, J Zhang Proceedings of the IEEE 107 (8), 1738-1762	1343	2019
Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond Y Zeng, Q Wu, R Zhang Proceedings of the IEEE 107 (12), 2327-2375	908	2019
Deep Learning With Edge Computing: A Review J Chen, X Ran Proceedings of the IEEE 107 (8), 1655-1674	868	2019
Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale M Bennis, M Debbah, HV Poor Proceedings of the IEEE 106 (10), 1834-1853	863	2018
Neuro-inspired computing with emerging nonvolatile memorys S Yu Proceedings of the IEEE 106 (2), 260-285	771	2018
Toward Causal Representation Learning B Schölkopf, F Locatello, S Bauer, NR Ke, N Kalchbrenner, A Goyal, ... Proceedings of the IEEE 109 (5), 612-634	667	2021
A Unifying Review of Deep and Shallow Anomaly Detection L Ruff, JR Kauffmann, RA Vandermeulen, G Montavon, W Samek, M Kloft, ... Proceedings of the IEEE 109 (5), 756-795	522	2021
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey L Deng, G Li, S Han, L Shi, Y Xie Proceedings of the IEEE 108 (4), 485-532	519	2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications W Samek, G Montavon, S Lapuschkin, CJ Anders, KR Müller Proceedings of the IEEE 109 (3), 247-278	514	2021
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities H Tataria, M Shafi, AF Molisch, M Dohler, H Sjöland, F Tufvesson Proceedings of the IEEE 109 (7), 1166-1199	513	2021
Wireless Network Intelligence at the Edge J Park, S Samarakoon, M Bennis, M Debbah Proceedings of the IEEE 107 (11), 2204-2239	464	2019
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches F Tang, Y Kawamoto, N Kato, J Liu Proceedings of the IEEE 108 (2), 292-307	439	2019
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization A Nedić, A Olshevsky, MG Rabbat Proceedings of the IEEE 106 (5), 953-976	429	2018
Edge Computing for Autonomous Driving: Opportunities and Challenges S Liu, L Liu, J Tang, B Yu, Y Wang, W Shi Proceedings of the IEEE 107 (8), 1697-1716	424	2019
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities H Zhou, W Xu, J Chen, W Wang Proceedings of the IEEE 108 (2), 308-323	384	2020
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises SK Zhou, H Greenspan, C Davatzikos, JS Duncan, B Van Ginneken, ... Proceedings of the IEEE 109 (5), 820-838	379	2021
Silicon Nitride in Silicon Photonics DJ Blumenthal, R Heideman, D Geuzebroek, A Leinse, C Roeloffzen Proceedings of the IEEE 106 (12), 2209-2231	349	2018
Edge Computing Security: State of the Art and Challenges Y Xiao, Y Jia, C Liu, X Cheng, J Yu, W Lv Proceedings of the IEEE 107 (8), 1608-1631	342	2019

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