Bai Huang

50 total papers · 1.4k total citations
43 papers, 1.2k citations indexed

About

Bai Huang is a scholar working on Biomedical Engineering, Polymers and Plastics and Biomaterials. According to data from OpenAlex, Bai Huang has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 20 papers in Polymers and Plastics and 17 papers in Biomaterials. Recurrent topics in Bai Huang's work include Advanced Sensor and Energy Harvesting Materials (16 papers), Conducting polymers and applications (11 papers) and Additive Manufacturing and 3D Printing Technologies (8 papers). Bai Huang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (16 papers), Conducting polymers and applications (11 papers) and Additive Manufacturing and 3D Printing Technologies (8 papers). Bai Huang collaborates with scholars based in China, France and Taiwan. Bai Huang's co-authors include Hui He, Hao Liu, Xiaodong Peng, Yunchao Jia, Yi Geng, Alain Dufresne, Jiaxiong Li, Chuanhui Xu, Ge Zhu and Shuzhan Wang and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Chemical Engineering Journal.

In The Last Decade

Bai Huang

36 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Bai Huang 494 483 358 352 263 43 1.2k
Abdullah Kafi 276 0.6× 419 0.9× 220 0.6× 373 1.1× 448 1.7× 34 1.1k
Carmen M. González‐Henríquez 553 1.1× 369 0.8× 190 0.5× 299 0.8× 321 1.2× 69 1.3k
Zhenzhen Quan 594 1.2× 464 1.0× 443 1.2× 259 0.7× 341 1.3× 46 1.5k
Dan Xing 273 0.6× 285 0.6× 168 0.5× 314 0.9× 249 0.9× 54 1.1k
Guillaume Miquelard‐Garnier 505 1.0× 340 0.7× 400 1.1× 404 1.1× 276 1.0× 52 1.4k
Sithiprumnea Dul 610 1.2× 846 1.8× 157 0.4× 291 0.8× 272 1.0× 29 1.3k
Christopher C. Bowland 750 1.5× 210 0.4× 329 0.9× 459 1.3× 281 1.1× 53 1.3k
Yubo Tao 381 0.8× 718 1.5× 359 1.0× 275 0.8× 261 1.0× 45 1.2k
Michael K. Hausmann 578 1.2× 469 1.0× 598 1.7× 135 0.4× 309 1.2× 19 1.3k
Martine Dubé 419 0.8× 396 0.8× 127 0.4× 324 0.9× 527 2.0× 55 1.5k

Countries citing papers authored by Bai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Bai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bai Huang

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