Hailong Li

960 total citations
58 papers, 770 citations indexed

About

Hailong Li is a scholar working on Biomaterials, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Hailong Li has authored 58 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomaterials, 19 papers in Biomedical Engineering and 14 papers in Organic Chemistry. Recurrent topics in Hailong Li's work include Advanced Cellulose Research Studies (16 papers), Lignin and Wood Chemistry (10 papers) and Supercapacitor Materials and Fabrication (9 papers). Hailong Li is often cited by papers focused on Advanced Cellulose Research Studies (16 papers), Lignin and Wood Chemistry (10 papers) and Supercapacitor Materials and Fabrication (9 papers). Hailong Li collaborates with scholars based in China, United States and Canada. Hailong Li's co-authors include Mengru Liu, Junjun Chen, Xin‐Sheng Chai, Chao Du, Jian Hu, Zhan Huai-yu, Yonghong Deng, Shiyu Fu, Tao Fang and Charles Q. Jia and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Hailong Li

54 papers receiving 740 citations

Peers

Hailong Li
Comparison fields: 5 of 88
  • Biomedical Engineering 274
  • Materials Chemistry 175
  • Biomaterials 156
  • Electronic, Optical and Magnetic Materials 145
  • Organic Chemistry 141
Replace Hind Abdullah Aljohani with:
Hind Abdullah Aljohani Saudi Arabia
Islam Elsayed United States
Manthiriyappan Sureshkumar Taiwan
Jinmiao Zhu China
Nilanjal Misra India
Tushar J. Trivedi India
Yuxiang Yang China
Maolin Li China
Frieder Kettemann Germany
Nikolaos Chalmpes Greece
Hind Abdullah Aljohani Saudi Arabia View profile →
Citations per field, relative to Hailong Li
Hailong Li · 1×
Citations per year, relative to Hailong Li
Hailong Li · 1×

Countries citing papers authored by Hailong Li

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Li

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 11
5 1
6 20
7 2
8 7
9 7
10 47
11 37
12 8
13 7
14 2
15 3
16 14
17 18
18 5
19 1
20 34

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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