Institution · Tencent (China)
Most cited papers from Tencent (China)
What are the most cited papers from Tencent (China)?
The most cited paper from Tencent (China) is "Graph neural networks: A review of methods and applications" (Jie Zhou, Ganqu Cui, Shengding Hu et al., 2020), with 5,883 citations. Next come "Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers" (3,679) and "CosFace: Large Margin Cosine Loss for Deep Face Recognition" (2,962).
Showing 50 of 60 papers. Every paper with more than 541 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Graph neural networks: A review of methods and applications Jie Zhou, Ganqu Cui, Shengding Hu et al. · AI Open | 2020 | 5,883 |
| 2 | Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng, Jiachen Lu, Hengshuang Zhao et al. | Jun 2021 | 3,679 |
| 3 | CosFace: Large Margin Cosine Loss for Deep Face Recognition Hao Wang, Yitong Wang, Zheng Zhou et al. | Jun 2018 | 2,962 |
| 4 | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties Guo‐Li Xiong, Zhenhua Wu, Jiacai Yi et al. · Nucleic Acids Research | 30 Mar 2021 | 2,880 |
| 5 | SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning Long Chen, Hanwang Zhang, Jun Xiao et al. | Jul 2017 | 2,084 |
| 6 | RMPE: Regional Multi-person Pose Estimation Hao-Shu Fang, Shuqin Xie, Yu‐Wing Tai et al. | Oct 2017 | 1,959 |
| 7 | BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation Changqian Yu, Changxin Gao, Jingbo Wang et al. · International Journal of Computer Vision | 3 Sep 2021 | 1,763 |
| 8 | Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang, Liangbin Xie, Chao Dong et al. | Oct 2021 | 1,630 |
| 9 | ICNet for Real-Time Semantic Segmentation on High-Resolution Images Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen et al. · Lecture notes in computer science | 2018 | 1,613 |
| 10 | Scale-Recurrent Network for Deep Image Deblurring Xin Tao, Hongyun Gao, Xiaoyong Shen et al. | Jun 2018 | 1,365 |
| 11 | The Medical Segmentation Decathlon Michela Antonelli et al. · Nature Communications | 15 Jul 2022 | 1,309 |
| 12 | PSANet: Point-wise Spatial Attention Network for Scene Parsing Hengshuang Zhao, Zhang Yi, Shu Liu et al. · Lecture notes in computer science | 2018 | 1,272 |
| 13 | Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm Canyi Lu, Jiashi Feng, Yudong Chen et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 9 Jan 2019 | 1,153 |
| 14 | Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen, Xintao Wang, Jiantao Zhou et al. | Jun 2023 | 1,101 |
| 15 | Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View Deli Chen, Yankai Lin, Wei Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 3 Apr 2020 | 1,044 |
| 16 | Recurrent Attention Network on Memory for Aspect Sentiment Analysis Peng Chen, Zhongqian Sun, Lidong Bing et al. | 2017 | 1,041 |
| 17 | Traffic-Sign Detection and Classification in the Wild Zhe Zhu, Dun Liang, Song–Hai Zhang et al. | Jun 2016 | 1,010 |
| 18 | Underexposed Photo Enhancement Using Deep Illumination Estimation Ruixing Wang, Qing Zhang, Chi‐Wing Fu et al. | Jun 2019 | 998 |
| 19 | Beyond Brightening Low-light Images Yonghua Zhang, Xiaojie Guo, Jiayi Ma et al. · International Journal of Computer Vision | 6 Jan 2021 | 994 |
| 20 | Gated Fusion Network for Single Image Dehazing Wenqi Ren, Lin Ma, Jiawei Zhang et al. | Jun 2018 | 953 |
| 21 | Contrastive Learning for Compact Single Image Dehazing Haiyan Wu, Yanyun Qu, Shaohui Lin et al. | Jun 2021 | 942 |
| 22 | STD: Sparse-to-Dense 3D Object Detector for Point Cloud Zetong Yang, Yanan Sun, Shu Liu et al. | Oct 2019 | 897 |
| 23 | Attentive Collaborative Filtering Jingyuan Chen, Hanwang Zhang, Xiangnan He et al. | 28 Jul 2017 | 893 |
| 24 | PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing Hengshuang Zhao, Li Jiang, Chi‐Wing Fu et al. | Jun 2019 | 887 |
| 25 | T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models Chong Mou, Xintao Wang, Liangbin Xie et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 24 Mar 2024 | 858 |
| 26 | Deep Pyramid Convolutional Neural Networks for Text Categorization Rie Johnson, Tong Zhang | 2017 | 840 |
| 27 | K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu, Peng Zhou, Zhe Zhao et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 3 Apr 2020 | 797 |
| 28 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian, Xi Xiao, Tingyang Xu et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 3 Apr 2020 | 748 |
| 29 | A survey on multimodal large language models Shukang Yin, Chaoyou Fu, Sirui Zhao et al. · National Science Review | 11 Nov 2024 | 743 |
| 30 | Transformer-based unsupervised contrastive learning for histopathological image classification Xiyue Wang, Sen Yang, Jun Zhang et al. · Medical Image Analysis | 30 Jul 2022 | 740 |
| 31 | DeepMove Jie Feng, Yong Li, Chao Zhang et al. | 2018 | 716 |
| 32 | YOLO-World: Real-Time Open-Vocabulary Object Detection Tianheng Cheng, Lin Song, Yixiao Ge et al. | 16 Jun 2024 | 714 |
| 33 | PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling Yan Xu, Chaoda Zheng, Zhen Li et al. | Jun 2020 | 677 |
| 34 | Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang, Yin Zheng, Huachun Tan et al. | 28 Jul 2017 | 672 |
| 35 | Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models Dejun Jiang, Zhenhua Wu, Chang‐Yu Hsieh et al. · Journal of Cheminformatics | 17 Feb 2021 | 667 |
| 36 | A Simple Convolutional Generative Network for Next Item Recommendation Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis et al. | 30 Jan 2019 | 651 |
| 37 | Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation Yunchao Wei, Huaxin Xiao, Honghui Shi et al. | Jun 2018 | 651 |
| 38 | scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data Fan Yang, Wenchuan Wang, Fang Wang et al. · Nature Machine Intelligence | 26 Sep 2022 | 642 |
| 39 | Backdoor Learning: A Survey Yiming Li, Yong Jiang, Zhifeng Li et al. · IEEE Transactions on Neural Networks and Learning Systems | 22 Jun 2022 | 638 |
| 40 | Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector Qi Fan, Wei Zhuo, Chi–Keung Tang et al. | Jun 2020 | 636 |
| 41 | Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations Hongyan Tang, Junning Liu, Ming Zhao et al. | 18 Sep 2020 | 620 |
| 42 | Online learning: A comprehensive survey Steven C. H. Hoi, Doyen Sahoo, Jing Lu et al. · Neurocomputing | 30 Apr 2021 | 614 |
| 43 | FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors Yu Chen, Ying Yu Tai, Xiaoming Liu et al. | Jun 2018 | 595 |
| 44 | VITAL: VIsual Tracking via Adversarial Learning Yibing Song, Chao Ma, Xiaohe Wu et al. | Jun 2018 | 594 |
| 45 | CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition Yuge Huang, Yuhan Wang, Ying Yu Tai et al. | Jun 2020 | 590 |
| 46 | Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection Jia-Xing Zhong, Nannan Li, Weijie Kong et al. | Jun 2019 | 590 |
| 47 | EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples Pin‐Yu Chen, Yash Sharma, Huan Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 25 Apr 2018 | 587 |
| 48 | Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm Zechun Liu, Baoyuan Wu, Wenhan Luo et al. · Lecture notes in computer science | 2018 | 586 |
| 49 | DiffusionDet: Diffusion Model for Object Detection Shoufa Chen, Peize Sun, Yibing Song et al. | Oct 2023 | 584 |
| 50 | Detail-Revealing Deep Video Super-Resolution Xin Tao, Hongyun Gao, Renjie Liao et al. | Oct 2017 | 577 |
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.