Lanqing Hong

1.6k total citations
41 papers, 778 citations indexed

About

Lanqing Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Lanqing Hong has authored 41 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Lanqing Hong's work include Domain Adaptation and Few-Shot Learning (11 papers), Advanced Neural Network Applications (7 papers) and Reliability and Maintenance Optimization (5 papers). Lanqing Hong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (11 papers), Advanced Neural Network Applications (7 papers) and Reliability and Maintenance Optimization (5 papers). Lanqing Hong collaborates with scholars based in China, Hong Kong and Sweden. Lanqing Hong's co-authors include Zhi‐Sheng Ye, Zhenguo Li, Qingqing Zhai, Jun‐Ming Liu, Xingsen Gao, Xubing Lu, Zhipeng Hou, Guofu Zhou, Zhen Fan and Piao Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry C and Neural Networks.

In The Last Decade

Lanqing Hong

33 papers receiving 763 citations

Peers

Countries citing papers authored by Lanqing Hong

Since Specialization

Citations

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

Fields of papers citing papers by Lanqing Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanqing Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Lanqing Hong. A scholar is included among the top collaborators of Lanqing Hong 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 Lanqing Hong. Lanqing Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment 2025 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zhili Liu, (unknown), Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, (unknown), Zhenguo Li, (unknown), Qun Liu, (unknown)	0
2	SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting 2025 ·(unknown), Lanqing Hong, Xiaolin Chang, (unknown), Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, (unknown)	1
3	CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference 2024 ·(unknown), Jing Li, (unknown), (unknown), (unknown), (unknown), Lanqing Hong	0
4	G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Fan Wu, (unknown), Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye	5
5	DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yibo Wang, (unknown), Kai Chen, (unknown), Yingjie Cai, Lanqing Hong, Zhenguo Li, (unknown), Dit-Yan Yeung, (unknown), Kai Zhang	2
6	CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs 2024 ·(unknown), Lanqing Hong, Zhenguo Li, Dan Xu	1
7	MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation 2023 ·Chongjian Ge, Jun Song Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo	26
8	Fair-CDA: Continuous and Directional Augmentation for Group Fairness 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Rui Sun, Fengwei Zhou, Zhenhua Dong, (unknown), Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li	1
9	CLAD: A realistic Continual Learning benchmark for Autonomous Driving 2023 ·Neural Networks ·(unknown), Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars	25
10	DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models 2023 ·(unknown), Chenchen Zhao, Lanqing Hong, Qiang Xu	7
11	DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation 2023 ·(unknown), Lanqing Hong, (unknown), (unknown), (unknown), (unknown)	0
12	Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2022 ·(unknown), Lanqing Hong, (unknown), (unknown)	0
13	An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing 2021 ·Materials Today Physics ·(unknown), Zhen Fan, Lanqing Hong, Shuangshuang Cheng, Qicheng Huang, (unknown), Xuepeng Xiang, Er‐Jia Guo, Haizhong Guo, Zhipeng Hou, Yan Chen, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun‐Ming Liu	73
14	A Heuristic-IRM Method on Hard Disk Failure Prediction in Out-of-distribution Environments 2021 ·2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ·(unknown), Ran Zhang, (unknown), Lanqing Hong	0
15	Machine Learning Based Distinguishing between Ferroelectric and Non‐Ferroelectric Polarization–Electric Field Hysteresis Loops 2020 ·Advanced Theory and Simulations ·Qicheng Huang, Zhen Fan, Lanqing Hong, Shengliang Cheng, Zhengwei Tan, Guo Tian, Deyang Chen, Zhipeng Hou, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun‐Ming Liu	7
16	Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing 2020 ·iScience ·Shengliang Cheng, Zhen Fan, (unknown), Lanqing Hong, Qicheng Huang, Ruiqiang Tao, Zhipeng Hou, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Guoliang Yuan, Xingsen Gao, Jun‐Ming Liu	37
17	An Artificial Optoelectronic Synapse Based on a Photoelectric Memcapacitor 2019 ·Advanced Electronic Materials ·Lei Zhao, Zhen Fan, Shengliang Cheng, Lanqing Hong, Yongqiang Li, Guo Tian, Deyang Chen, Zhipeng Hou, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun‐Ming Liu	82
18	Thinning ferroelectric films for high-efficiency photovoltaics based on the Schottky barrier effect 2019 ·NPG Asia Materials ·Zhengwei Tan, Lanqing Hong, Zhen Fan, (unknown), Luyong Zhang, Yue Jiang, Zhipeng Hou, Deyang Chen, Minghui Qin, Min Zeng, Jinwei Gao, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun‐Ming Liu	76
19	Nonparametric link functions with shape constraints in stochastic degradation processes: Application to emerging contaminants 2019 ·Journal of Quality Technology ·Lanqing Hong, Matthias Hwai Yong Tan, Zhi‐Sheng Ye	9
20	FABRICATION AND CHARACTERIZATION OF Co_xGd_1-x NANOWIRE ARRAYS AND CORE-SHELL-LIKE Co_xGd_1-x/CoO NANOWIRE ARRAYS 2008 ·Functional Materials Letters ·(unknown), A. K. Soh, Lanqing Hong, Guangping Zheng	12

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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