Changwei Bi

1.9k total citations · 1 hit paper
50 papers, 1.0k citations indexed

About

Changwei Bi is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Changwei Bi has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Plant Science and 11 papers in Genetics. Recurrent topics in Changwei Bi's work include Genomics and Phylogenetic Studies (31 papers), Photosynthetic Processes and Mechanisms (9 papers) and Plant biochemistry and biosynthesis (8 papers). Changwei Bi is often cited by papers focused on Genomics and Phylogenetic Studies (31 papers), Photosynthetic Processes and Mechanisms (9 papers) and Plant biochemistry and biosynthesis (8 papers). Changwei Bi collaborates with scholars based in China, United States and Austria. Changwei Bi's co-authors include Ning Ye, Yiqing Xu, Tongming Yin, Yanshu Qu, Qiaolin Ye, Zuhong Lu, Na Lü, Li‐an Xu, Dongyang Wu and Chunpeng He and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Chemical Engineering Journal.

In The Last Decade

Changwei Bi

48 papers receiving 1.0k citations

Hit Papers

PMAT: an efficient plant mitogenome assembly toolkit usin... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Changwei Bi China 18 812 338 167 144 46 50 1.0k
Marcelo Rogalski Brazil 18 959 1.2× 451 1.3× 386 2.3× 144 1.0× 15 0.3× 38 1.2k
Carlos Roberto Carvalho Brazil 18 674 0.8× 884 2.6× 192 1.1× 181 1.3× 73 1.6× 76 1.2k
Alex Harkess United States 19 927 1.1× 1.0k 3.0× 208 1.2× 338 2.3× 47 1.0× 50 1.5k
Vincent Sauveplane France 9 815 1.0× 795 2.4× 59 0.4× 115 0.8× 21 0.5× 16 1.1k
Shaoqun Zhou China 16 407 0.5× 908 2.7× 117 0.7× 110 0.8× 18 0.4× 35 1.2k
Isabel López‐Díaz Spain 19 683 0.8× 911 2.7× 57 0.3× 93 0.6× 22 0.5× 29 1.1k
Alejandro Garcíarrubio Mexico 10 818 1.0× 1.2k 3.4× 111 0.7× 99 0.7× 14 0.3× 18 1.5k
Zhili Suo China 13 572 0.7× 229 0.7× 272 1.6× 207 1.4× 34 0.7× 27 737
Nanae Ueda Japan 11 1.3k 1.6× 1.9k 5.8× 95 0.6× 138 1.0× 75 1.6× 13 2.2k
Chao Shi China 10 638 0.8× 249 0.7× 261 1.6× 186 1.3× 37 0.8× 26 802

Countries citing papers authored by Changwei Bi

Since Specialization
Citations

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

Fields of papers citing papers by Changwei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changwei Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Changwei Bi. A scholar is included among the top collaborators of Changwei Bi 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 Changwei Bi. Changwei Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Yimin, Changwei Bi, Jitao Li, et al.. (2025). Machine learning assisted biomimetic flexible SERS sensor from seashells for pesticide classification and concentration prediction. Chemical Engineering Journal. 507. 160813–160813. 16 indexed citations
2.
He, Jiaxian, Changwei Bi, Jie Wang, et al.. (2025). Genomic variation and evolutionary patterns in organelle genomes between annual and perennial Glycine species. BMC Plant Biology. 25(1). 353–353. 1 indexed citations
3.
Yang, Wenjie, et al.. (2025). A haplotype-resolved chromosomal-level genome assembly of Oxalis articulata. Scientific Data. 12(1). 856–856. 2 indexed citations
4.
Bi, Changwei, et al.. (2025). A gap-free reference genome of Populus deltoides provides insights into karyotype evolution of Salicaceae. BMC Biology. 23(1). 201–201. 1 indexed citations
6.
Xu, Jin, et al.. (2025). One-step preparation of TiO2/PPy composite photoelectrochemical sensors and sensitive detection of TBZ and thiram. Chinese Journal of Physics. 97. 1445–1452. 1 indexed citations
7.
Shen, Fei, et al.. (2024). Comprehensive analysis of the Lycopodium japonicum mitogenome reveals abundant tRNA genes and cis-spliced introns in Lycopodiaceae species. Frontiers in Plant Science. 15. 1446015–1446015. 9 indexed citations
8.
Bi, Changwei, Fei Shen, Jing Hou, et al.. (2024). PMAT: an efficient plant mitogenome assembly toolkit using low-coverage HiFi sequencing data. Horticulture Research. 11(3). uhae023–uhae023. 67 indexed citations breakdown →
9.
Liu, Wei, et al.. (2023). Determinants and performance prediction on photocatalytic properties of hydroxyapatite by machine learning. Optical Materials. 146. 114510–114510. 9 indexed citations
10.
Wang, Yuxiao, et al.. (2023). Assembly and Comparative Analysis of the Complete Mitochondrial Genome of Ilex macrocarpa. Forests. 14(12). 2372–2372. 6 indexed citations
11.
Ren, Kai, Huabing Shu, Ke Wang, et al.. (2023). Predicted XN (X = C, Si, Ge, and Sn) Monolayers with Ultrahigh Carrier Mobility: Potential Photocatalysts for Water Splitting. The Journal of Physical Chemistry C. 127(43). 21006–21014. 11 indexed citations
12.
Lü, Na, Yi Qiao, Pengfei An, et al.. (2023). Exploration of whole genome amplification generated chimeric sequences in long-read sequencing data. Briefings in Bioinformatics. 24(5). 8 indexed citations
13.
Qu, Yanshu, et al.. (2022). Assembly and comparative analysis of the complete mitochondrial genome of Salix wilsonii using PacBio HiFi sequencing. Frontiers in Plant Science. 13. 1031769–1031769. 37 indexed citations
14.
Liu, Yunqing, Na Lü, Changwei Bi, et al.. (2021). FEM: mining biological meaning from cell level in single-cell RNA sequencing data. PeerJ. 9. e12570–e12570. 2 indexed citations
15.
Wang, Xuelin, Feng Cheng, Changwei Bi, et al.. (2018). Organellar genome assembly methods and comparative analysis of horticultural plants. Horticulture Research. 5(1). 3–3. 47 indexed citations
16.
Ye, Ning, Xuelin Wang, Juan Li, et al.. (2017). Assembly and comparative analysis of complete mitochondrial genome sequence of an economic plant Salix suchowensis. PeerJ. 5. e3148–e3148. 68 indexed citations
17.
Bi, Changwei, Andrew H. Paterson, Xuelin Wang, et al.. (2016). Analysis of the Complete Mitochondrial Genome Sequence of the Diploid CottonGossypium raimondiiby Comparative Genomics Approaches. BioMed Research International. 2016. 1–18. 86 indexed citations
18.
Wei, Suyun, Xuelin Wang, Changwei Bi, et al.. (2016). Assembly and analysis of the complete Salix purpurea L. (Salicaceae) mitochondrial genome sequence. SpringerPlus. 5(1). 1894–1894. 17 indexed citations
19.
Wang, Xuelin, Changwei Bi, Yiqing Xu, et al.. (2016). The Whole Genome Assembly and Comparative Genomic Research ofThellungiella parvula(Extremophile Crucifer) Mitochondrion. International Journal of Genomics. 2016. 1–13. 6 indexed citations
20.
Bi, Changwei, Yiqing Xu, Qiaolin Ye, Tongming Yin, & Ning Ye. (2016). Genome-wide identification and characterization of WRKY gene family in Salix suchowensis. PeerJ. 4. e2437–e2437. 40 indexed citations

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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