Li Mo

423 total citations
10 papers, 337 citations indexed

About

Li Mo is a scholar working on Pollution, Artificial Intelligence and Ecology. According to data from OpenAlex, Li Mo has authored 10 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 5 papers in Artificial Intelligence and 2 papers in Ecology. Recurrent topics in Li Mo's work include Geochemistry and Geologic Mapping (5 papers), Heavy metals in environment (5 papers) and Toxic Organic Pollutants Impact (2 papers). Li Mo is often cited by papers focused on Geochemistry and Geologic Mapping (5 papers), Heavy metals in environment (5 papers) and Toxic Organic Pollutants Impact (2 papers). Li Mo collaborates with scholars based in China and Macao. Li Mo's co-authors include Huading Shi, Fei Yang, Yingxia Li, Inchio Lou, Yang Yu, Zhenyao Shen, Fei Yang, Jiahui Liang, Yi-Qi Tian and Zhifeng Yang and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and Sustainability.

In The Last Decade

Li Mo

9 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Li Mo China	6	255	139	112	58	52	10	337
Boya Cai China	7	261 1.0×	102 0.7×	119 1.1×	96 1.7×	78 1.5×	8	335
Jiehua Cui China	5	284 1.1×	97 0.7×	120 1.1×	95 1.6×	44 0.8×	8	406
Paula Renata Muniz Araújo Brazil	11	234 0.9×	114 0.8×	62 0.6×	68 1.2×	36 0.7×	18	370
Dengdeng Jiang China	9	176 0.7×	79 0.6×	73 0.7×	57 1.0×	48 0.9×	19	288
Shamali De Silva Australia	6	226 0.9×	116 0.8×	60 0.5×	79 1.4×	24 0.5×	12	320
Jierui Dai China	7	324 1.3×	114 0.8×	194 1.7×	93 1.6×	54 1.0×	16	405
Pengcong Wang China	9	336 1.3×	202 1.5×	91 0.8×	69 1.2×	52 1.0×	16	422
Zhongmin Jia China	6	342 1.3×	135 1.0×	136 1.2×	132 2.3×	64 1.2×	8	419
Fang Guang-ling China	4	312 1.2×	152 1.1×	114 1.0×	117 2.0×	51 1.0×	6	378

Countries citing papers authored by Li Mo

Since Specialization

Citations

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

Fields of papers citing papers by Li Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Mo

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Liu, Zhonghua, Li Mo, Jiahui Liang, et al.. (2025). Heavy Metal Pollution and Health-Ecological Risk Assessment in Agricultural Soils: A Case Study from the Yellow River Bend Industrial Parks. Toxics. 13(10). 834–834. 1 indexed citations

2.

Wang, Yue, et al.. (2023). [Enrichment Characteristics, Source Apportionment, and Risk Assessment of Heavy Metals in the Industrial and Mining Area of Northern Guangdong Province].. PubMed. 44(3). 1636–1645. 5 indexed citations

3.

Liang, Jiahui, et al.. (2023). [Source Apportionment and Potential Ecological Risk Assessment of Soil Heavy Metals in Typical Industrial and Mining Towns in North China].. PubMed. 44(10). 5657–5665.

4.

Liang, Jiahui, et al.. (2022). Research on health risk assessment of heavy metals in soil based on multi-factor source apportionment: A case study in Guangdong Province, China. The Science of The Total Environment. 858(Pt 3). 159991–159991. 93 indexed citations

5.

Yang, Fei, et al.. (2021). Prediction of high-risk areas of soil heavy metal pollution with multiple factors on a large scale in industrial agglomeration areas. The Science of The Total Environment. 808. 151874–151874. 93 indexed citations

6.

Shi, Huading, et al.. (2021). Identification of Soil Heavy Metal Sources in a Large-Scale Area Affected by Industry. Sustainability. 13(2). 511–511. 37 indexed citations

7.

Yu, Yang, Yingxia Li, Zhenyao Shen, et al.. (2014). Occurrence and possible sources of organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) along the Chao River, China. Chemosphere. 114. 136–143. 92 indexed citations

8.

Yu, Yang, et al.. (2013). [Analysis and evaluation of heavy metals along the Chaohe River in Miyun County].. PubMed. 34(9). 3572–7. 4 indexed citations

9.

Li, Yingxia, et al.. (2013). Quantitative assessment and source apportionment of metal pollution in soil along Chao River. Desalination and Water Treatment. 51(19-21). 4010–4018. 11 indexed citations

10.

Mo, Li. (2012). Study on Water Quality Changes Characteristics Shuimo River in Recent Decades. 1 indexed citations

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.

Explore authors with similar magnitude of impact