Bing Hu

68 total papers · 1.7k total citations
50 papers, 1.2k citations indexed

About

Bing Hu is a scholar working on Electronic, Optical and Magnetic Materials, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Bing Hu has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electronic, Optical and Magnetic Materials, 13 papers in Signal Processing and 13 papers in Artificial Intelligence. Recurrent topics in Bing Hu's work include Time Series Analysis and Forecasting (12 papers), Anomaly Detection Techniques and Applications (10 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). Bing Hu is often cited by papers focused on Time Series Analysis and Forecasting (12 papers), Anomaly Detection Techniques and Applications (10 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). Bing Hu collaborates with scholars based in China, United States and Japan. Bing Hu's co-authors include Eamonn Keogh, Yanping Chen, Mohammad Shokoohi-Yekta, Hongxia Jin, Jun Wang, Ling‐Bin Kong, Eamonn Keogh, Long Kang, Kun Yan and Thanawin Rakthanmanon and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and PLoS ONE.

In The Last Decade

Bing Hu

48 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Bing Hu 405 366 333 260 216 50 1.2k
Ziyuan Yang 181 0.4× 114 0.3× 328 1.0× 506 1.9× 252 1.2× 106 1.4k
Xiang Lu 127 0.3× 303 0.8× 158 0.5× 151 0.6× 645 3.0× 75 1.5k
Jahangir Alam 743 1.8× 737 2.0× 248 0.7× 280 1.1× 166 0.8× 156 1.8k
Tao Wei 279 0.7× 388 1.1× 234 0.7× 813 3.1× 507 2.3× 87 1.7k
S. Mukherjee 188 0.5× 333 0.9× 42 0.1× 438 1.7× 196 0.9× 51 1.2k
Thomas Fischer 484 1.2× 305 0.8× 127 0.4× 498 1.9× 646 3.0× 91 1.7k
Jie Chen 119 0.3× 83 0.2× 368 1.1× 402 1.5× 1.1k 4.9× 52 1.6k
Jindong Chen 59 0.1× 218 0.6× 492 1.5× 286 1.1× 213 1.0× 76 1.3k
Liwen Zhang 77 0.2× 135 0.4× 288 0.9× 355 1.4× 1.2k 5.5× 86 1.8k
Zhu Liu 244 0.6× 47 0.1× 68 0.2× 242 0.9× 285 1.3× 62 1.1k

Countries citing papers authored by Bing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Hu

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