Jingbo Xia

1.6k total citations · 1 hit paper
79 papers, 1.1k citations indexed

About

Jingbo Xia is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jingbo Xia has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 25 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in Jingbo Xia's work include Machine Learning in Bioinformatics (19 papers), Biomedical Text Mining and Ontologies (17 papers) and Bioinformatics and Genomic Networks (12 papers). Jingbo Xia is often cited by papers focused on Machine Learning in Bioinformatics (19 papers), Biomedical Text Mining and Ontologies (17 papers) and Bioinformatics and Genomic Networks (12 papers). Jingbo Xia collaborates with scholars based in China, United States and Japan. Jingbo Xia's co-authors include Silan Zhang, Xinran Xu, Yifan Deng, Yang Qiu, Wen Zhang, Shichao Liu, Kuobin Dai, Xiaochuan Ai, Jiakai Yan and Yinhui Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Jingbo Xia

70 papers receiving 1.0k citations

Hit Papers

A multimodal deep learning framework for predicting drug–... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingbo Xia China 14 455 395 331 258 165 79 1.1k
Achille Fokoue United States 12 342 0.8× 675 1.7× 191 0.6× 285 1.1× 69 0.4× 44 1.1k
Ricardo B. C. Prudêncio Brazil 19 257 0.6× 711 1.8× 86 0.3× 256 1.0× 73 0.4× 91 1.3k
Zhe Quan China 14 265 0.6× 263 0.7× 166 0.5× 319 1.2× 17 0.1× 44 780
Ashwin Srinivasan India 20 290 0.6× 748 1.9× 128 0.4× 461 1.8× 114 0.7× 76 1.4k
Christian Murphy United States 16 392 0.9× 364 0.9× 206 0.6× 196 0.8× 103 0.6× 61 1.5k
Thomas R. Gabriel Germany 6 337 0.7× 180 0.5× 86 0.3× 235 0.9× 22 0.1× 9 932
Nicolas Cebron Germany 6 337 0.7× 196 0.5× 84 0.3× 224 0.9× 21 0.1× 14 979
Kilian Thiel Germany 7 338 0.7× 182 0.5× 86 0.3× 229 0.9× 20 0.1× 10 942
Siegfried Nijssen Belgium 20 217 0.5× 683 1.7× 327 1.0× 500 1.9× 347 2.1× 73 1.6k

Countries citing papers authored by Jingbo Xia

Since Specialization
Citations

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

Fields of papers citing papers by Jingbo Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingbo Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Jingbo Xia. A scholar is included among the top collaborators of Jingbo 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 Jingbo Xia. Jingbo Xia 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.
Ahmad, Jawad, et al.. (2025). A curation system of rice trait ontology with reliable interoperation by LLM and PubAnnotation. Genomics & Informatics. 23(1). 24–24.
2.
Xia, Jingbo, et al.. (2024). Investigation of causal public opinion indexes for price fluctuation in vegetable marketing. Computers & Electrical Engineering. 116. 109227–109227. 4 indexed citations
3.
Zhou, Xionghui, et al.. (2024). PheSeq, a Bayesian deep learning model to enhance and interpret the gene-disease association studies. Genome Medicine. 16(1). 56–56. 4 indexed citations
4.
Wang, Yuxing, et al.. (2024). Cancer-Alterome: a literature-mined resource for regulatory events caused by genetic alterations in cancer. Scientific Data. 11(1). 265–265. 2 indexed citations
5.
Xia, Jingbo, et al.. (2024). Bioregulatory event extraction using large language models: a case study of rice literature. Genomics & Informatics. 22(1). 20–20. 1 indexed citations
6.
Mayer, Wolfgang, et al.. (2023). Ontology alignment with semantic and structural embeddings. Journal of Web Semantics. 78. 100798–100798. 6 indexed citations
7.
Zhang, Sheng, Yuxing Wang, Kevin Bretonnel Cohen, et al.. (2022). High-quality gene/disease embedding in a multi-relational heterogeneous graph after a joint matrix/tensor decomposition. Journal of Biomedical Informatics. 126. 103973–103973. 4 indexed citations
8.
Wang, Yuxing, et al.. (2021). Bridging heterogeneous mutation data to enhance disease gene discovery. Briefings in Bioinformatics. 22(5). 4 indexed citations
9.
Wang, Yuxing, et al.. (2021). LitCovid-AGAC: cellular and molecular level annotation data set based on COVID-19. Genomics & Informatics. 19(3). e23–e23. 1 indexed citations
10.
Larmande, Pierre, et al.. (2021). OryzaGP 2021 update: a rice gene and protein dataset for named-entity recognition. Genomics & Informatics. 19(3). e27–e27. 1 indexed citations
11.
Xia, Jingbo, et al.. (2021). A Novel Metric to Quantify the Effect of Pathway Enrichment Evaluation With Respect to Biomedical Text-Mined Terms: Development and Feasibility Study. JMIR Medical Informatics. 9(6). e28247–e28247. 2 indexed citations
12.
Zhang, Sheng, et al.. (2020). Keyphrase Extraction by Improving TextRank with an Integration ofWord Embedding and Syntactic Information. Recent Advances in Computer Science and Communications. 14(9). 2969–2975. 2 indexed citations
13.
Zheng, Yuyu, Xiangyu Meng, Pierre Zweigenbaum, Ling‐Ling Chen, & Jingbo Xia. (2020). Hybrid phenotype mining method for investigating off-target protein and underlying side effects of anti-tumor immunotherapy. BMC Medical Informatics and Decision Making. 20(S3). 133–133. 3 indexed citations
14.
Wang, Shuguang, Xiangyu Meng, Yuxing Wang, Ye-Mao Liu, & Jingbo Xia. (2019). HPO-Shuffle: an associated gene prioritization strategy and its application in drug repurposing for the treatment of canine epilepsy. Bioscience Reports. 39(9). 7 indexed citations
15.
Gîfu, Daniela, et al.. (2019). Special Issue on the Curative Power of Medical Data. Data. 4(2). 85–85. 4 indexed citations
16.
Wang, Yuxing, et al.. (2019). A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition. Genomics & Informatics. 17(2). e18–e18. 14 indexed citations
17.
Zweigenbaum, Pierre, et al.. (2017). Adverse Reaction Identification Driven by Semantic Information.. Theory and applications of categories. 1 indexed citations
18.
Luo, Bin & Jingbo Xia. (2014). A novel intrusion detection system based on feature generation with visualization strategy. Expert Systems with Applications. 41(9). 4139–4147. 55 indexed citations
19.
Xia, Jingbo. (2010). Research and Improvement of Real-time in Linux-system Based on RTAI. Jisuanji gongcheng. 1 indexed citations
20.
Hu, Xuehai, et al.. (2010). A hybrid Fisher/SVM method for SNP discovery in Brassica oilseed rape.. Journal of Food Agriculture & Environment. 8. 705–708. 1 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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