Long Cang

5.1k citations
84 papers · 4.3k indexed · h-index 39

Long Cang

84 papers receiving 4.2k citations

Peers

Long Cang
Comparison fields: 5 of 112
  • Pollution 1.8k
  • Industrial and Manufacturing Engineering 646
  • Water Science and Technology 797
  • Geophysics 691
  • Health, Toxicology and Mutagenesis 669
Replace Qu-Sheng Li with:
Qu-Sheng Li China
Rongbing Fu China
Domen Leštan Slovenia
Ismail Yusoff Malaysia
Mingxin Guo United States
Maurício Paulo Ferreira Fontes Brazil
Dengjun Wang United States
Marie‐Odile Simonnot France
Quanying Wang China
Aijun Lin China
Long Cang relative to Qu-Sheng Li China Qu-Sheng Li's profile →
Citations per field
00.5×5.9×
Qu-Sheng Li · 1×
Citations per year

Countries citing papers authored by Long Cang

Since Specialization
Citations

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

Fields of papers citing papers by Long Cang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Long Cang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Long Cang Line = papers co-authored together Long Cang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 202310
4 202320
5 20234
6 202229
7 202018
8 202013
9
Effects of different soil environmental factors on tetracycline adsorption of microplastics
20197
10 201943
11 201820
12 201514
13 2015255
14 201229
15 200928
16 200841
17
Competitive adsorption kinetics of copper and lead ions in soils
20064
18
Influence of vertical electric field on migration of heavy metal complexes in soil column
20062
19 200564
20 2005118

About Long Cang

Long Cang is a scholar working on Pollution, Geophysics, Water Science and Technology, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 84 papers that have together received 4.3k indexed citations. Recurring topics across this work include Electrokinetic Soil Remediation Techniques (36 papers), Geophysical and Geoelectrical Methods (25 papers), Heavy metals in environment (24 papers), Environmental remediation with nanomaterials (12 papers), Advanced oxidation water treatment (8 papers), Landfill Environmental Impact Studies (8 papers), Chromium effects and bioremediation (6 papers) and Plant and Biological Electrophysiology Studies (6 papers). The work is most often cited by research in Pollution (1.8k citations), Industrial and Manufacturing Engineering (646 citations), Water Science and Technology (797 citations), Geophysics (691 citations) and Health, Toxicology and Mutagenesis (669 citations). Long Cang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongmei Zhou, Yujun Wang, Quanying Wang, Xiuzhen Hao, Guodong Fang, Guangping Fan, Yuanhua Dong, Akram N. Alshawabkeh, Xiao‐San Luo and Dengjun Wang. Their work appears in journals such as Chemosphere, Journal of Hazardous Materials, Environmental Science and Pollution Research, Journal of Soils and Sediments and Environmental Pollution.

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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