Lijun Dai

74 total papers · 1.0k total citations
38 papers, 833 citations indexed

About

Lijun Dai is a scholar working on Pollution, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Lijun Dai has authored 38 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pollution, 8 papers in Artificial Intelligence and 6 papers in Water Science and Technology. Recurrent topics in Lijun Dai's work include Heavy metals in environment (9 papers), Geochemistry and Geologic Mapping (7 papers) and Water Quality and Pollution Assessment (5 papers). Lijun Dai is often cited by papers focused on Heavy metals in environment (9 papers), Geochemistry and Geologic Mapping (7 papers) and Water Quality and Pollution Assessment (5 papers). Lijun Dai collaborates with scholars based in China, United States and Germany. Lijun Dai's co-authors include Lingqing Wang, Tao Liang, Laurie B. Gower, Lianfang Li, Yongyong Zhang, Baoshan Xing, Chuanxin Ma, Elliot P. Douglas, Xingguo Cheng and Jörg Rinklebe and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Chemistry of Materials.

In The Last Decade

Lijun Dai

31 papers receiving 815 citations

Author Peers

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

Author						Papers	Cites
Lijun Dai	306	174	139	134	134	38	833
Chuxuan Li	330 1.1×	126 0.7×	104 0.7×	132 1.0×	42 0.3×	30	876
Nada Miljević	140 0.5×	84 0.5×	153 1.1×	110 0.8×	55 0.4×	39	857
Dieter Zachmann	215 0.7×	158 0.9×	217 1.6×	106 0.8×	48 0.4×	36	1.0k
Sônia Maria Barros de Oliveira	181 0.6×	227 1.3×	89 0.6×	101 0.8×	85 0.6×	75	892
J B Percival	271 0.9×	231 1.3×	72 0.5×	255 1.9×	51 0.4×	42	998
Frederic R. Siegel	362 1.2×	185 1.1×	146 1.1×	120 0.9×	35 0.3×	41	820
Wei Zhang	508 1.7×	75 0.4×	116 0.8×	146 1.1×	66 0.5×	38	1.0k
Ramamoorthy Ayyamperumal	352 1.2×	59 0.3×	106 0.8×	144 1.1×	58 0.4×	50	732
Carleton R. Bern	152 0.5×	119 0.7×	80 0.6×	69 0.5×	74 0.6×	46	854
Ivan Gržetić	272 0.9×	93 0.5×	200 1.4×	143 1.1×	51 0.4×	52	969

Countries citing papers authored by Lijun Dai

Since Specialization

Citations

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

Fields of papers citing papers by Lijun Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Dai

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