Haibo Li

5.3k total citations
196 papers, 4.4k citations indexed

About

Haibo Li is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Haibo Li has authored 196 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Pollution, 58 papers in Health, Toxicology and Mutagenesis and 54 papers in Environmental Engineering. Recurrent topics in Haibo Li's work include Wastewater Treatment and Nitrogen Removal (68 papers), Water Treatment and Disinfection (37 papers) and Constructed Wetlands for Wastewater Treatment (33 papers). Haibo Li is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (68 papers), Water Treatment and Disinfection (37 papers) and Constructed Wetlands for Wastewater Treatment (33 papers). Haibo Li collaborates with scholars based in China, Canada and United States. Haibo Li's co-authors include Jianbo Guo, Yi Han, Caicai Lu, Yuanyuan Song, Yinghua Li, Yanan Hou, Tieheng Sun, Xiaozeng Han, Di Zhang and Aimin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and The Science of The Total Environment.

In The Last Decade

Haibo Li

193 papers receiving 4.3k citations

Peers

Haibo Li
Comparison fields: 5 of 131
  • Pollution 1.9k
  • Water Science and Technology 1.4k
  • Industrial and Manufacturing Engineering 1.1k
  • Environmental Engineering 1.0k
  • Health, Toxicology and Mutagenesis 941
Replace Min Ji with:
Min Ji China
Fang Fang China
Yingxin Zhao China
Yuntao Guan China
Shou‐Qing Ni China
Ang Li China
Feng Jiang China
Jih‐Gaw Lin Taiwan
Bao‐Cheng Huang China
Min Ji China View profile →
Citations per field, relative to Haibo Li
Haibo Li · 1×
Citations per year, relative to Haibo Li
Haibo Li · 1×

Countries citing papers authored by Haibo Li

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Li. A scholar is included among the top collaborators of Haibo 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 Haibo Li. Haibo 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 6
4 7
5 10
6 8
7 2
8 2
9 10
10 10
11 6
12 12
13 3
14 13
15 6
16 2
17 1
18 28
19 24
20
Breeding of surviving-in-winter lines and surviving-in-winter sterile lines in rice
1

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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