Haibin Cheng

26 total papers · 1.3k total citations
17 papers, 652 citations indexed

About

Haibin Cheng is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Haibin Cheng has authored 17 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 6 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Haibin Cheng's work include Recommender Systems and Techniques (4 papers), Consumer Market Behavior and Pricing (4 papers) and Time Series Analysis and Forecasting (4 papers). Haibin Cheng is often cited by papers focused on Recommender Systems and Techniques (4 papers), Consumer Market Behavior and Pricing (4 papers) and Time Series Analysis and Forecasting (4 papers). Haibin Cheng collaborates with scholars based in United States, China and United Kingdom. Haibin Cheng's co-authors include Pang‐Ning Tan, Mihajlo Grbovic, Erick Cantú‐Paz, Christopher Potter, Steven Klooster, Eren Manavoglu, Rong Jin, Jing Gao, Rómer Rosales and Rong Jin and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Scopus and PubMed.

In The Last Decade

Haibin Cheng

17 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Haibin Cheng 374 251 152 128 92 17 652
Wei Chen 215 0.6× 271 1.1× 114 0.8× 82 0.6× 41 0.4× 41 699
Rajesh Parekh 324 0.9× 145 0.6× 93 0.6× 49 0.4× 81 0.9× 33 599
Lan Nie 362 1.0× 379 1.5× 172 1.1× 95 0.7× 95 1.0× 12 701
Ulrich Paquet 363 1.0× 232 0.9× 219 1.4× 52 0.4× 22 0.2× 34 659
Yuming Ou 351 0.9× 184 0.7× 72 0.5× 68 0.5× 27 0.3× 31 562
Abdullah Alamri 452 1.2× 166 0.7× 175 1.2× 141 1.1× 22 0.2× 10 779
Eren Manavoglu 333 0.9× 417 1.7× 156 1.0× 82 0.6× 156 1.7× 19 774
Hema Raghavan 485 1.3× 243 1.0× 95 0.6× 42 0.3× 51 0.6× 27 668
Yanchang Zhao 354 0.9× 371 1.5× 66 0.4× 89 0.7× 29 0.3× 43 693
Bo Liu 244 0.7× 266 1.1× 160 1.1× 117 0.9× 87 0.9× 18 625

Countries citing papers authored by Haibin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Haibin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Haibin Cheng. A scholar is included among the top collaborators of Haibin Cheng 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 Haibin Cheng. Haibin Cheng 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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