Ershi Qi

162 total papers · 1.1k total citations
80 papers, 798 citations indexed

About

Ershi Qi is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ershi Qi has authored 80 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Information Systems, 13 papers in Strategy and Management and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ershi Qi's work include Evaluation and Optimization Models (9 papers), Quality and Supply Management (7 papers) and Supply Chain and Inventory Management (7 papers). Ershi Qi is often cited by papers focused on Evaluation and Optimization Models (9 papers), Quality and Supply Management (7 papers) and Supply Chain and Inventory Management (7 papers). Ershi Qi collaborates with scholars based in China, United Kingdom and United States. Ershi Qi's co-authors include Runliang Dou, Na Liu, Bo Gao, Yajiao Li, Xing Zhang, Hui Li, Gang Li, Hongwei Liu, Shuguang He and Binshan Lin and has published in prestigious journals such as PLoS ONE, Applied Energy and European Journal of Operational Research.

In The Last Decade

Ershi Qi

68 papers receiving 763 citations

Author Peers

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

Author						Papers	Cites
Ershi Qi	183	174	145	135	97	80	798
S.K. Kwok	131 0.7×	227 1.3×	140 1.0×	158 1.2×	60 0.6×	60	981
Tieming Liu	161 0.9×	358 2.1×	237 1.6×	124 0.9×	70 0.7×	65	950
Giulia Bruno	145 0.8×	95 0.5×	126 0.9×	381 2.8×	60 0.6×	75	971
Rong-Ho Lin	222 1.2×	157 0.9×	217 1.5×	56 0.4×	380 3.9×	38	1.0k
Leslie Monplaisir	72 0.4×	152 0.9×	247 1.7×	153 1.1×	188 1.9×	48	893
Ali Ala	120 0.7×	131 0.8×	178 1.2×	191 1.4×	159 1.6×	44	929
Niklas Kühl	335 1.8×	143 0.8×	40 0.3×	108 0.8×	80 0.8×	71	999
Madjid Fathi	294 1.6×	110 0.6×	64 0.4×	141 1.0×	94 1.0×	138	931
Gang Du	63 0.3×	165 0.9×	276 1.9×	149 1.1×	64 0.7×	64	1.0k
Mohammad Fallah	78 0.4×	89 0.5×	173 1.2×	123 0.9×	195 2.0×	50	742

Countries citing papers authored by Ershi Qi

Since Specialization

Citations

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

Fields of papers citing papers by Ershi Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ershi Qi

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