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Most cited papers from Beijing Academy of Artificial Intelligence

Beijing Academy of Artificial Intelligence

What are the most cited papers from Beijing Academy of Artificial Intelligence?

The most cited paper from Beijing Academy of Artificial Intelligence is "Object Detection in 20 Years: A Survey" (Zhengxia Zou, Keyan Chen, Zhenwei Shi et al., 2023), with 3,119 citations. Next come "A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development" (1,458) and "ERNIE: Enhanced Language Representation with Informative Entities" (1,440).

Showing 50 of 60 papers. Every paper with more than 325 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Object Detection in 20 Years: A Survey Zhengxia Zou, Keyan Chen, Zhenwei Shi et al. · Proceedings of the IEEE 27 Jan 2023 3,119
2 A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development Tianyu Wu, Shizhu He, Jingping Liu et al. · IEEE/CAA Journal of Automatica Sinica May 2023 1,458
3 ERNIE: Enhanced Language Representation with Informative Entities Zhengyan Zhang, Xu Han, Zhiyuan Liu et al. Conference paperOpen access 2019 1,440
4 Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen, Xintao Wang, Jiantao Zhou et al. Conference paper Jun 2023 1,101
5 Parameter-efficient fine-tuning of large-scale pre-trained language models Ning Ding, Yujia Qin, Guang You Yang et al. · Nature Machine Intelligence Open access 2 Mar 2023 1,028
6 GLM: General Language Model Pretraining with Autoregressive Blank Infilling Zhengxiao Du, Yujie Qian, Xiao Liu et al. · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Conference paperOpen access 2022 956
7 Vision Transformer with Deformable Attention Zhuofan Xia, Xuran Pan, Shiji Song et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Conference paper Jun 2022 951
8 Estimates and Projections of the Global Economic Cost of 29 Cancers in 204 Countries and Territories From 2020 to 2050 Simiao Chen, Zhong Liang Cao, Klaus Prettner et al. · JAMA Oncology Open access 23 Feb 2023 894
9 A Review of Deep-Learning-Based Medical Image Segmentation Methods Xiangbin Liu, Liping Song, Shuai Liu et al. · Sustainability Open access 25 Jan 2021 879
10 Dynamic Neural Networks: A Survey Yizeng Han, Gao Ming Huang, Shiji Song et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 6 Oct 2021 793
11 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks Xiao Liu, Kaixuan Ji, Yicheng Fu et al. Conference paperOpen access 2022 772
12 A deep learning system for detecting diabetic retinopathy across the disease spectrum Ling Dai, Liang Wu, Huating Li et al. · Nature Communications Open access 28 May 2021 624
13 UniFormer: Unifying Convolution and Self-Attention for Visual Recognition Kunchang Li, Yali Wang, Junhao Zhang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 5 Jun 2023 603
14 A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease Manhua Liu, Fan Li, Hao Yan et al. · NeuroImage Open access 16 Dec 2019 573
15 Deep Learning for Geophysics: Current and Future Trends Siwei Yu, Jianwei Ma · Reviews of Geophysics Open access 3 Jun 2021 561
16 On the Integration of Self-Attention and Convolution Xuran Pan, Chunjiang Ge, Rui Lü et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Conference paper Jun 2022 550
17 Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks Lei Shi, Yifan Zhang, Jian Cheng et al. · IEEE Transactions on Image Processing Open access 2020 545
18 DocRED: A Large-Scale Document-Level Relation Extraction Dataset Yuan Yao, Deming Ye, Peng Li et al. Conference paperOpen access 2019 539
19 SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation Zhaohu Xing, Tian Ye, Yijun Yang et al. · Lecture notes in computer science Conference paper 2024 527
20 Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition Yifan Song, Zhang Zhang, Caifeng Shan et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 7 Mar 2022 516
21 Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study Kun Wang, Xue Lu, Hui Zhou et al. · Gut Open access 5 May 2018 514
22 Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network Fangzhou Liao, Ming Liang, Zhe Li et al. · IEEE Transactions on Neural Networks and Learning Systems Open access 14 Feb 2019 509
23 An optoelectronic synapse based on α-In2Se3 with controllable temporal dynamics for multimode and multiscale reservoir computing Keqin Liu, Teng Zhang, Bingjie Dang et al. · Nature Electronics 13 Oct 2022 500
24 Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu, Han Yu, Xingjun Ma et al. · IEEE Transactions on Neural Networks and Learning Systems 10 Nov 2022 499
25 VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking Limin Wang, Bingkun Huang, Zhiyu Zhao et al. Conference paper Jun 2023 492
26 Integrated Sensing and Communications: Recent Advances and Ten Open Challenges Shihang Lu, Fan Liu, Yunxin Li et al. · IEEE Internet of Things Journal Feb 2024 488
27 End-to-End Comparative Attention Networks for Person Re-Identification Hao Liu, Jiashi Feng, Meibin Qi et al. · IEEE Transactions on Image Processing Open access 3 May 2017 483
28 EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Yuxin Fang, Wen Wang, Binhui Xie et al. Conference paper Jun 2023 478
29 Deep Representation Learning With Part Loss for Person Re-Identification Hantao Yao, Shiliang Steven Zhang, Richang Hong et al. · IEEE Transactions on Image Processing Open access 10 Jan 2019 472
30 PTR: Prompt Tuning with Rules for Text Classification Xu Han, Weilin Zhao, Ning Ding et al. · AI Open Open access 2022 461
31 Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering Tao Lü, Mulin Yu, Linning Xu et al. Conference paper 16 Jun 2024 456
32 Towards Fast, Accurate and Stable 3D Dense Face Alignment Jianzhu Guo, Xiangyu Zhu, Yang Yang et al. · Lecture notes in computer science Conference paper 2020 453
33 Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study Di Dong, M. Fang, Lingyun Tang et al. · Annals of Oncology Open access 15 Apr 2020 439
34 SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence Wei Fang, Yanqi Chen, Jianhao Ding et al. · Science Advances Open access 6 Oct 2023 432
35 Unified Structure Generation for Universal Information Extraction Yaojie Lu, Qing Hong Liu, Dai Dai et al. · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Conference paperOpen access 2022 431
36 A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training Runpeng Cui, Hu Liu, Changshui Zhang · IEEE Transactions on Multimedia 2019 430
37 Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy Weisong Zhao et al. · Nature Biotechnology 15 Nov 2021 422
38 The application of large language models in medicine: A scoping review Xiangbin Meng et al. · iScience Open access 23 Apr 2024 406
39 Prototype Augmentation and Self-Supervision for Incremental Learning Fei Zhu, Xu-Yao Zhang, Chuang Wang et al. Conference paper Jun 2021 404
40 Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT‐Based Smart Healthcare Applications Quan Zhang, Tao Jin, Jianguo Cai et al. · Advanced Science Open access 19 Nov 2021 387
41 Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers Bo Dong, Wenhai Wang, Deng-Ping Fan et al. · CAAI Artificial Intelligence Research Open access 30 Jun 2023 365
42 Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation Yifan Feng, Jiangang Huang, Shaoyi Du et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 30 Dec 2024 363
43 Signal propagation in complex networks Peng Ji, Jiachen Ye, Yu Mu et al. · Physics Reports Open access 5 Apr 2023 363
44 RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model Keyan Chen, Chenyang Liu, Hao Chen et al. · IEEE Transactions on Geoscience and Remote Sensing 2024 359
45 Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition Jinpeng Li, Shuang Qiu, Yuanyuan Shen et al. · IEEE Transactions on Cybernetics 2019 358
46 Vertical Federated Learning: Concepts, Advances, and Challenges Yang Liu, Yan Kang, Tianyuan Zou et al. · IEEE Transactions on Knowledge and Data Engineering Open access 26 Jan 2024 357
47 An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals Xiaobing Du, Cuixia Ma, Guanhua Zhang et al. · IEEE Transactions on Affective Computing 3 Aug 2020 356
48 How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence Haoxi Zhong, Chaojun Xiao, Cunchao Tu et al. Conference paperOpen access 2020 355
49 Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition Ke Cheng, Yifan Zhang, Congqi Cao et al. · Lecture notes in computer science Conference paper 2020 351
50 RSMamba: Remote Sensing Image Classification With State Space Model Keyan Chen, Bowen Chen, Chenyang Liu et al. · IEEE Geoscience and Remote Sensing Letters 2024 349

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.