Jinjie Gu

143 total papers · 609 total citations
58 papers, 298 citations indexed

About

Jinjie Gu is a scholar working on Information Systems, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jinjie Gu has authored 58 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 23 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in Jinjie Gu's work include Recommender Systems and Techniques (22 papers), Topic Modeling (12 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Jinjie Gu is often cited by papers focused on Recommender Systems and Techniques (22 papers), Topic Modeling (12 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Jinjie Gu collaborates with scholars based in China, United Kingdom and United States. Jinjie Gu's co-authors include Jian Hao, Jiping Shi, Zhongxi Zhang, Cheorl‐Ho Kim, H. L. HOLLAND, Jidong Zhou, Gary J. Lye, Biao Jiang, Frank Baganz and Jun Zhou and has published in prestigious journals such as Applied Microbiology and Biotechnology, Enzyme and Microbial Technology and Metabolic Engineering.

In The Last Decade

Jinjie Gu

50 papers receiving 275 citations

Author Peers

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

Author						Papers	Cites
Jinjie Gu	102	95	64	64	43	58	298
Qiuyue Wang	53 0.5×	155 1.6×	34 0.5×	37 0.6×	58 1.3×	42	349
Arushi Jain	46 0.5×	73 0.8×	52 0.8×	52 0.8×	31 0.7×	24	363
Lulu Zhang	62 0.6×	89 0.9×	12 0.2×	37 0.6×	25 0.6×	48	358
Seung‐Hee Kim	48 0.5×	49 0.5×	58 0.9×	42 0.7×	19 0.4×	72	272
Maria do Carmo Nicoletti	171 1.7×	26 0.3×	41 0.6×	21 0.3×	31 0.7×	58	357
Haoran Li	113 1.1×	22 0.2×	48 0.8×	74 1.2×	30 0.7×	42	326
Saqib Iqbal	129 1.3×	13 0.1×	77 1.2×	21 0.3×	34 0.8×	37	348
Qicong Chen	78 0.8×	109 1.1×	20 0.3×	14 0.2×	32 0.7×	31	366
Yukun Zheng	95 0.9×	67 0.7×	70 1.1×	19 0.3×	20 0.5×	31	262
Lu Guan	35 0.3×	85 0.9×	85 1.3×	61 1.0×	22 0.5×	35	332

Countries citing papers authored by Jinjie Gu

Since Specialization

Citations

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

Fields of papers citing papers by Jinjie Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjie Gu

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