Zhang-Wei Hong

778 total citations
8 papers, 93 citations indexed

About

Zhang-Wei Hong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhang-Wei Hong has authored 8 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Zhang-Wei Hong's work include Reinforcement Learning in Robotics (4 papers), Robotic Path Planning Algorithms (2 papers) and Multimodal Machine Learning Applications (2 papers). Zhang-Wei Hong is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Robotic Path Planning Algorithms (2 papers) and Multimodal Machine Learning Applications (2 papers). Zhang-Wei Hong collaborates with scholars based in Taiwan, Germany and United Kingdom. Zhang-Wei Hong's co-authors include Shih-Yang Su, Chun‐Yi Lee, Pulkit Agrawal, Yumin Chen, Akash Srivastava and Chien Liu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Zhang-Wei Hong

5 papers receiving 88 citations

Peers

Zhang-Wei Hong

CVPR

AI

AE

CSE

Kuan Liu China

Thayne T. Walker United States

Błażej Osiński Poland

Zhuo Xu United States

Yuting Chen China

Maximilian Igl United Kingdom

Murtaza Dalal United States

Bao Xin Chen Canada

Julie Dequaire United Kingdom

Shenyuan Gao Hong Kong

Kuan Liu China

Zhang-Wei Hong

47 ×0.7

CVPR

20 ×0.4

AI

7 ×0.4

AE

23 ×1.8

AE

6 ×0.5

CSE

Citations per year, relative to Zhang-Wei Hong Zhang-Wei Hong (= 1×) peers Kuan Liu

Countries citing papers authored by Zhang-Wei Hong

Since Specialization

Citations

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

Fields of papers citing papers by Zhang-Wei Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhang-Wei Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhang-Wei Hong. A scholar is included among the top collaborators of Zhang-Wei 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 Zhang-Wei Hong. Zhang-Wei 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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8 of 8 papers shown

1.

Hong, Zhang-Wei, et al.. (2024). Maximizing Quadruped Velocity by Minimizing Energy. 11467–11473. 2 indexed citations

2.

Agrawal, Pulkit, et al.. (2023). Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. 4985–5009.

3.

Liu, Chien, et al.. (2022). Composing Synergistic Macro Actions for Reinforcement Learning Agents. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 7251–7258.

4.

Hong, Zhang-Wei, et al.. (2022). Stubborn: A Strong Baseline for Indoor Object Navigation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3287–3293. 21 indexed citations

5.

Hong, Zhang-Wei, et al.. (2021). Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture. 529. 4762–4768.

6.

Hong, Zhang-Wei, et al.. (2018). A Deep Policy Inference Q-Network for Multi-Agent Systems. arXiv (Cornell University). 1388–1396. 15 indexed citations

7.

Hong, Zhang-Wei, et al.. (2018). Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. Neural Information Processing Systems. 31. 10489–10500. 5 indexed citations

8.

Hong, Zhang-Wei, et al.. (2018). Virtual-to-Real: Learning to Control in Visual Semantic Segmentation. 4912–4920. 50 indexed citations

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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