Haipeng Luo

234 total papers · 2.0k total citations
56 papers, 574 citations indexed

About

Haipeng Luo is a scholar working on Artificial Intelligence, Management Science and Operations Research and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Haipeng Luo has authored 56 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 23 papers in Management Science and Operations Research and 12 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Haipeng Luo's work include Advanced Bandit Algorithms Research (23 papers), Machine Learning and Algorithms (18 papers) and Limits and Structures in Graph Theory (12 papers). Haipeng Luo is often cited by papers focused on Advanced Bandit Algorithms Research (23 papers), Machine Learning and Algorithms (18 papers) and Limits and Structures in Graph Theory (12 papers). Haipeng Luo collaborates with scholars based in United States, China and Australia. Haipeng Luo's co-authors include Zhen Xiao, Qi Chen, Weijia Song, Robert E. Schapire, Wanli Ouyang, Wenhao Wu, Jingdong Wang, Elad Hazan, Alekh Agarwal and Bo Fang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and BMC Public Health.

In The Last Decade

Haipeng Luo

50 papers receiving 547 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Haipeng Luo	221	201	195	109	97	56	574
Feng Tian	67 0.3×	196 1.0×	227 1.2×	260 2.4×	30 0.3×	36	618
Sukhamay Kundu	113 0.5×	28 0.1×	122 0.6×	85 0.8×	73 0.8×	48	551
Reinhardt Euler	246 1.1×	70 0.3×	92 0.5×	78 0.7×	21 0.2×	59	528
M. Kaykobad	132 0.6×	44 0.2×	112 0.6×	59 0.5×	15 0.2×	52	583
Lev Reyzin	116 0.5×	73 0.4×	377 1.9×	91 0.8×	252 2.6×	30	585
Lu Chen	213 1.0×	125 0.6×	202 1.0×	69 0.6×	10 0.1×	53	519
Julien Ugon	83 0.4×	29 0.1×	205 1.1×	158 1.4×	32 0.3×	59	568
Linda Pagli	244 1.1×	45 0.2×	146 0.7×	62 0.6×	23 0.2×	74	612
Mayank Sharma	244 1.1×	24 0.1×	131 0.7×	39 0.4×	53 0.5×	50	588
Graham Birtwistle	190 0.9×	47 0.2×	127 0.7×	53 0.5×	111 1.1×	47	574

Countries citing papers authored by Haipeng Luo

Since Specialization

Citations

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

Fields of papers citing papers by Haipeng Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Luo

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

All Works

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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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