Yihao Feng

567 total citations
19 papers, 187 citations indexed

About

Yihao Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yihao Feng has authored 19 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Yihao Feng's work include Reinforcement Learning in Robotics (4 papers), Machine Learning and ELM (2 papers) and Topic Modeling (2 papers). Yihao Feng is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Machine Learning and ELM (2 papers) and Topic Modeling (2 papers). Yihao Feng collaborates with scholars based in United States, China and Singapore. Yihao Feng's co-authors include Andrew B. Whinston, Philip S. Yu, Congying Xia, Wenpeng Yin, Caiming Xiong, Shikun Zhang, Tongzheng Ren, Junjie Ma, Zhanhong Li and Dengyong Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Applied Catalysis A General.

In The Last Decade

Yihao Feng

15 papers receiving 180 citations

Peers

Countries citing papers authored by Yihao Feng

Since Specialization

Citations

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

Fields of papers citing papers by Yihao Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihao Feng

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

#	Work	Indexed citations
1	Transcriptomic and metabolomic unraveling of nitrogen use efficiency in sorghum: the quest for molecular adaptations to low-nitrogen stress 2025 ·Plant Growth Regulation ·(unknown), Yihao Feng, Chang Liu, (unknown), Lei Han, (unknown), Yufei Zhou	2
2	Multifractal characteristics on pore structure of grouted coal using nuclear magnetic resonance for anti-seepage evaluation 2025 ·Physics of Fluids ·Junxiang Zhang, Longjie Li, Bo Li, (unknown), Junjie Guo, Zhenfeng Wang, Fan Zhang, Yihao Feng	0
3	Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward 2025 ·(unknown), Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, (unknown), Di Fu, Chunyuan Li, Alexander G. Hauptmann, Yonatan Bisk, Yiming Yang	2
4	Uncalcined TS-1 supported Au catalyst via NaBH4 reduction method for propylene epoxidation: Insights into the H2 pretreatment effect on catalytic performance 2024 ·Applied Catalysis A General ·Jia Zheng, Yihao Feng, Tengfei Yang, Congcong Liu, Claudia Li, Jaka Sunarso, Lu Yang, Xiaobin Wang	1
5	HIVE: Harnessing Human Feedback for Instructional Visual Editing 2024 ·Shu Zhang, (unknown), Yihao Feng, Can Qin, (unknown), Ning Yu, (unknown), Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu	12
6	Screening key sorghum germplasms for low-nitrogen tolerance at the seedling stage and identifying from the carbon and nitrogen metabolism 2024 ·Frontiers in Plant Science ·Chunjuan Liu, (unknown), Bang Li, Yihao Feng, Chang Liu, (unknown), Yufei Zhou	1
7	FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability 2024 ·Congying Xia, (unknown), (unknown), Xinyi Yang, Yihao Feng, (unknown), Wenpeng Yin, Caiming Xiong	0
8	APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets 2024 ·Yihao Feng, (unknown), (unknown), (unknown), (unknown), Zhiwei Liu, Zuxin Liu, (unknown), Juan Carlos Niebles, Silvio Savarese, Juntao Tan, Huan Wang, Caiming Xiong, Liangwei Yang, Weiran Yao, (unknown), Ming Zhu	0
9	A Wearable Patch Sensor for Simultaneous Detection of Dopamine and Glucose in Sweat 2023 ·SHILAP Revista de lepidopterología ·Yue Sun, Junjie Ma, Yuwei Wang, (unknown), Yihao Feng, Zhanhong Li, Zifeng Wang, Yutong Han, Zhigang Zhu	21
10	Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Bo Liu, Yihao Feng, Qiang Liu, Peter Stone	0
11	A Novel Filter-Level Deep Convolutional Neural Network Pruning Method Based on Deep Reinforcement Learning 2022 ·Applied Sciences ·Yihao Feng, Chao Huang, Long Wang, Xiong Luo, Qingwen Li	2
12	Dynamic Pricing and Information Disclosure for Fresh Produce: An Artificial Intelligence Approach 2021 ·Production and Operations Management ·(unknown), Yihao Feng, Andrew B. Whinston	74
13	Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System 2021 ·Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu	28
14	Unsupervised Out-of-Domain Detection via Pre-trained Transformers 2021 ·(unknown), Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong	21
15	Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation 2020 ·arXiv (Cornell University) ·Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu	1
16	A Kernel Loss for Solving the Bellman Equation 2019 ·arXiv (Cornell University) ·Yihao Feng, Lihong Li, Qiang Liu	2
17	Action-dependent Control Variates for Policy Optimization via Stein Identity 2018 ·International Conference on Learning Representations ·(unknown), Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu	10
18	Learning to Draw Samples with Amortized Stein Variational Gradient Descent. 2017 ·Uncertainty in Artificial Intelligence ·Yihao Feng, (unknown), Qiang Liu	5
19	ARShop 2017 ·Proceedings of the VLDB Endowment ·Chao Wang, Yihao Feng, Qi Guo, (unknown), (unknown), (unknown), Anthony K. H. Tung, Lifu Wu, (unknown)	5

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.

Explore authors with similar magnitude of impact