Haibao Lv

23 total papers · 1.7k total citations
22 papers, 1.4k citations indexed

About

Haibao Lv is a scholar working on Polymers and Plastics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Haibao Lv has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Polymers and Plastics, 10 papers in Biomedical Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Haibao Lv's work include Polymer composites and self-healing (11 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Advanced Materials and Mechanics (5 papers). Haibao Lv is often cited by papers focused on Polymer composites and self-healing (11 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Advanced Materials and Mechanics (5 papers). Haibao Lv collaborates with scholars based in China, United Kingdom and Denmark. Haibao Lv's co-authors include Jinsong Leng, Yanju Liu, Shanyi Du, Xin Lan, Xiaohua Wang, Yongtao Yao, Dongxing Zhang, Nuo Xu, Yingyi Liu and Wenge Chen and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Materials Chemistry A.

In The Last Decade

Haibao Lv

21 papers receiving 1.4k citations

Hit Papers

Review of electro-active ... 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Haibao Lv 1.1k 549 447 432 157 22 1.4k
Haiyang Du 870 0.8× 464 0.8× 306 0.7× 363 0.8× 133 0.8× 17 1.1k
Cheng Tang 950 0.8× 674 1.2× 479 1.1× 474 1.1× 229 1.5× 11 1.5k
Shunichi HAYASHI 1.4k 1.2× 722 1.3× 393 0.9× 349 0.8× 225 1.4× 45 1.7k
Fenghua Zhang 923 0.8× 319 0.6× 688 1.5× 583 1.3× 265 1.7× 36 1.4k
Muhammad Yasar Razzaq 1.2k 1.0× 558 1.0× 626 1.4× 574 1.3× 322 2.1× 37 1.7k
Fengkui Li 1.5k 1.3× 477 0.9× 297 0.7× 243 0.6× 451 2.9× 24 1.7k
Miaoming Huang 1.3k 1.1× 344 0.6× 611 1.4× 308 0.7× 451 2.9× 56 1.7k
Keith Hearon 610 0.5× 239 0.4× 411 0.9× 260 0.6× 228 1.5× 20 1.1k
Zenghui Yang 1.2k 1.1× 604 1.1× 445 1.0× 442 1.0× 246 1.6× 63 1.8k
Yuliang Xia 658 0.6× 253 0.5× 554 1.2× 447 1.0× 183 1.2× 10 1.1k

Countries citing papers authored by Haibao Lv

Since Specialization
Citations

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

Fields of papers citing papers by Haibao Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibao Lv

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