Peifa Jia

122 total papers · 1.5k total citations
71 papers, 844 citations indexed

About

Peifa Jia is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Peifa Jia has authored 71 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 10 papers in Information Systems. Recurrent topics in Peifa Jia's work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Text Analysis Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Peifa Jia is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Text Analysis Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Peifa Jia collaborates with scholars based in China and United States. Peifa Jia's co-authors include Hua Xu, Zhongwu Zhai, Bing Liu, Yixu Song, Zehong Yang, Jiadong Yang, Bada Kang, Xiaomin Sun, Meng Na and Bin Yang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Peifa Jia

65 papers receiving 783 citations

Author Peers

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

Author						Papers	Cites
Peifa Jia	454	139	107	90	75	71	844
Jian An	219 0.5×	158 1.1×	94 0.9×	72 0.8×	115 1.5×	85	913
Ernesto Tarantino	533 1.2×	124 0.9×	79 0.7×	22 0.2×	24 0.3×	76	961
Jin Tian	194 0.4×	70 0.5×	289 2.7×	45 0.5×	26 0.3×	117	917
Li Liu	420 0.9×	120 0.9×	48 0.4×	75 0.8×	36 0.5×	83	862
Peng Sun	349 0.8×	109 0.8×	27 0.3×	24 0.3×	64 0.9×	106	996
Ag Asri Ag Ibrahim	263 0.6×	152 1.1×	42 0.4×	26 0.3×	19 0.3×	63	881
Arnaud Martin	484 1.1×	130 0.9×	25 0.2×	188 2.1×	39 0.5×	52	894
Yuanxiang Li	502 1.1×	68 0.5×	36 0.3×	50 0.6×	67 0.9×	103	952
Roger L. Wainwright	403 0.9×	54 0.4×	30 0.3×	48 0.5×	19 0.3×	60	892
Chen Xu	324 0.7×	161 1.2×	21 0.2×	65 0.7×	91 1.2×	59	932

Countries citing papers authored by Peifa Jia

Since Specialization

Citations

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

Fields of papers citing papers by Peifa Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peifa Jia

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