Pengxu Qi

10 total papers · 590 total citations
9 papers, 512 citations indexed

About

Pengxu Qi is a scholar working on Materials Chemistry, Organic Chemistry and Process Chemistry and Technology. According to data from OpenAlex, Pengxu Qi has authored 9 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Organic Chemistry and 3 papers in Process Chemistry and Technology. Recurrent topics in Pengxu Qi's work include Carbon dioxide utilization in catalysis (3 papers), biodegradable polymer synthesis and properties (3 papers) and Polymer composites and self-healing (2 papers). Pengxu Qi is often cited by papers focused on Carbon dioxide utilization in catalysis (3 papers), biodegradable polymer synthesis and properties (3 papers) and Polymer composites and self-healing (2 papers). Pengxu Qi collaborates with scholars based in United States, Italy and Taiwan. Pengxu Qi's co-authors include Stephen A. Miller, Ha Thi Nguyen, Marcus H. Reis, Nguyen Thi Hoang Ha, Chu‐Chieh Lin, Curtis R. Taylor, Sin‐Yen Leo, Yongliang Ni, Peng Jiang and Vito Basile and has published in prestigious journals such as Advanced Functional Materials, Journal of Materials Chemistry A and Journal of Catalysis.

In The Last Decade

Pengxu Qi

9 papers receiving 508 citations

Author Peers

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

Author						Papers	Cites
Pengxu Qi	276	190	161	130	95	9	512
Damien Maillard	225 0.8×	114 0.6×	246 1.5×	111 0.9×	28 0.3×	11	507
Atsushi Segawa	277 1.0×	100 0.5×	102 0.6×	161 1.2×	86 0.9×	14	591
Arijana Susa	143 0.5×	112 0.6×	412 2.6×	166 1.3×	53 0.6×	6	541
Tze‐Gang Hsu	243 0.9×	56 0.3×	127 0.8×	258 2.0×	91 1.0×	9	543
Dora Coelho	215 0.8×	210 1.1×	224 1.4×	241 1.9×	58 0.6×	10	617
Harm Veenstra	283 1.0×	80 0.4×	462 2.9×	99 0.8×	47 0.5×	9	613
Kwanho Chang	245 0.9×	58 0.3×	248 1.5×	203 1.6×	77 0.8×	11	508
Yogesh S. Deshmukh	188 0.7×	194 1.0×	238 1.5×	65 0.5×	24 0.3×	15	555
Tuoqi Li	227 0.8×	106 0.6×	309 1.9×	180 1.4×	58 0.6×	15	564
Caitlin S. Sample	103 0.4×	110 0.6×	197 1.2×	230 1.8×	23 0.2×	15	459

Countries citing papers authored by Pengxu Qi

Since Specialization

Citations

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

Fields of papers citing papers by Pengxu Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengxu Qi

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