Boyang Xia

452 total citations
9 papers, 246 citations indexed

About

Boyang Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Boyang Xia has authored 9 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Boyang Xia's work include Advanced Vision and Imaging (2 papers), Human Pose and Action Recognition (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Boyang Xia is often cited by papers focused on Advanced Vision and Imaging (2 papers), Human Pose and Action Recognition (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Boyang Xia collaborates with scholars based in China, Austria and Germany. Boyang Xia's co-authors include Lei Li, Xiaoya Li, Juan Cao, Sebastian Bruchmann, Matthias Preuße, Susanne Häußler, Monika Schniederjans, Frank Klawonn, Sarah Pohl and Ulrich Bodenhofer and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology and Materials Chemistry and Physics.

In The Last Decade

Boyang Xia

7 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Boyang Xia China	5	81	71	47	40	35	9	246
Jie Lei China	13	84 1.0×	58 0.8×	16 0.3×	11 0.3×	9 0.3×	46	368
Sarfaraz Ahmed India	7	19 0.2×	28 0.4×	8 0.2×	22 0.6×	31 0.9×	17	320
Xiyan Liu China	11	25 0.3×	121 1.7×	6 0.1×	42 1.1×	12 0.3×	26	375
Lin Yi China	10	39 0.5×	45 0.6×	6 0.1×	77 1.9×	22 0.6×	54	363
Yushuang Wu China	9	48 0.6×	145 2.0×	6 0.1×	7 0.2×	9 0.3×	25	250
Chih-Ming Hsu Taiwan	10	39 0.5×	87 1.2×	24 0.5×	18 0.5×		41	325
Seung Hwan Park South Korea	10	36 0.4×	49 0.7×	30 0.6×	23 0.6×		34	326
Yongsheng Liang China	13	187 2.3×	27 0.4×	12 0.3×	9 0.2×	11 0.3×	38	409
Pengyu Zhang China	8	73 0.9×	27 0.4×	6 0.1×	16 0.4×	9 0.3×	15	282
S. N. Geethalakshmi India	13	34 0.4×	37 0.5×	2 0.0×	22 0.6×	6 0.2×	40	415

Countries citing papers authored by Boyang Xia

Since Specialization

Citations

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

Fields of papers citing papers by Boyang Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyang Xia

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Xia, Boyang, et al.. (2025). Development and application of a CRISPR/Cas12a-based reverse transcription–recombinase polymerase amplification assay with lateral flow dipstick and fluorescence detection for Getah virus. PeerJ. 13. e20119–e20119.

2.

Liu, Guoxin, et al.. (2024). Prediction and analysis of toxic and side effects of tigecycline based on deep learning. Frontiers in Microbiology. 15. 1512091–1512091.

3.

Yu, Yue, Ruizhi Liu, Boyang Xia, et al.. (2024). A survey on deep learning-based algorithms for the traveling salesman problem. Frontiers of Computer Science. 19(6). 2 indexed citations

4.

Xia, Boyang, et al.. (2024). Accurate Interpolation of Scattered Data Via Learning Relation Graph. 7290–7294. 1 indexed citations

5.

Xia, Boyang, et al.. (2023). NeuralGLS: learning to guide local search with graph convolutional network for the traveling salesman problem. Neural Computing and Applications. 36(17). 9687–9706. 4 indexed citations

6.

Yang, Haosen, Wenhao Wu, Lining Wang, et al.. (2022). Temporal Action Proposal Generation with Background Constraint. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 3054–3062. 13 indexed citations

7.

Zhao, Yajing, Boyang Xia, Zhensheng Dong, et al.. (2021). Enhanced thermal conductivity of composite phase change materials based on carbon modified expanded perlite. Materials Chemistry and Physics. 261. 124226–124226. 46 indexed citations

8.

Li, Lei, et al.. (2021). Progressive Domain Expansion Network for Single Domain Generalization. 224–233. 118 indexed citations

9.

Khaledi, Ariane, Monika Schniederjans, Sarah Pohl, et al.. (2016). Transcriptome Profiling of Antimicrobial Resistance in Pseudomonas aeruginosa. Antimicrobial Agents and Chemotherapy. 60(8). 4722–4733. 62 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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