Shengbin Jia

1.2k total citations · 1 hit paper
11 papers, 696 citations indexed

About

Shengbin Jia is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Shengbin Jia has authored 11 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Management Science and Operations Research. Recurrent topics in Shengbin Jia's work include Topic Modeling (7 papers), Advanced Graph Neural Networks (4 papers) and Natural Language Processing Techniques (3 papers). Shengbin Jia is often cited by papers focused on Topic Modeling (7 papers), Advanced Graph Neural Networks (4 papers) and Natural Language Processing Techniques (3 papers). Shengbin Jia collaborates with scholars based in China and United Kingdom. Shengbin Jia's co-authors include Yang Xiang, Xiaojun Chen, Maozhen Li, Yang Li, Ling Ding, Yang Xiang, Xingxing Jiang, Shuping Liu, Hong Shen and Song‐Dong Zhou and has published in prestigious journals such as Expert Systems with Applications, Talanta and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Shengbin Jia

10 papers receiving 673 citations

Hit Papers

A review: Knowledge reasoning over knowledge graph 2019 2026 2021 2023 2019 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review: Knowledge reasoning over knowledge graph
    2019 581 citations Xiaojun Chen, Shengbin Jia et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengbin Jia China 6 434 113 94 67 65 11 696
Xiaojun Chen China 6 402 0.9× 99 0.9× 88 0.9× 49 0.7× 68 1.0× 13 642
Yufei Wang China 12 457 1.1× 82 0.7× 58 0.6× 56 0.8× 88 1.4× 67 784
Sabbir M. Rashid United States 5 498 1.1× 159 1.4× 140 1.5× 115 1.7× 88 1.4× 17 790
Axel Polleres Chile 3 480 1.1× 148 1.3× 132 1.4× 103 1.5× 78 1.2× 3 733
José Emilio Labra Gayo Chile 3 480 1.1× 148 1.3× 132 1.4× 103 1.5× 78 1.2× 3 733
Lukas Schmelzeisen Chile 3 480 1.1× 148 1.3× 132 1.4× 103 1.5× 78 1.2× 3 733
Ruizhang Huang China 16 595 1.4× 114 1.0× 109 1.2× 44 0.7× 129 2.0× 72 863
Lixin Cui China 16 355 0.8× 82 0.7× 58 0.6× 36 0.5× 141 2.2× 50 666
Prabhas Chongstitvatana Thailand 12 358 0.8× 97 0.9× 43 0.5× 64 1.0× 68 1.0× 103 707
Ibrahim El-Henawy Egypt 11 394 0.9× 70 0.6× 51 0.5× 44 0.7× 107 1.6× 24 631

Countries citing papers authored by Shengbin Jia

Since Specialization
Citations

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

Fields of papers citing papers by Shengbin Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengbin Jia

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

All Works

11 of 11 papers shown
1.
Liu, Shuping, et al.. (2023). A novel detection of MicroRNA based on homogeneous electrochemical sensor with enzyme-assisted signal amplification. Talanta. 256. 124263–124263. 14 indexed citations
2.
Jia, Shengbin, et al.. (2022). Hybrid neural tagging model for open relation extraction. Expert Systems with Applications. 200. 116951–116951. 9 indexed citations
3.
Chen, Xiaojun, Shengbin Jia, Ling Ding, & Yang Xiang. (2021). Reasoning over temporal knowledge graph with temporal consistency constraints. Journal of Intelligent & Fuzzy Systems. 40(6). 11941–11950. 5 indexed citations
4.
Li, Yang, et al.. (2020). Learn#: A Novel incremental learning method for text classification. Expert Systems with Applications. 147. 113198–113198. 35 indexed citations
5.
Gui, Ling‐Jian, Shengbin Jia, Xian‐Lin Guo, et al.. (2020). Tongoloa tagongensis (Apiaceae), a new species from the Hengduan Mountains, China. Phytotaxa. 461(1). 3 indexed citations
6.
Chen, Xiaojun, Shengbin Jia, Ling Ding, Hong Shen, & Yang Xiang. (2020). SDT: An integrated model for open-world knowledge graph reasoning. Expert Systems with Applications. 162. 113889–113889. 12 indexed citations
7.
Jia, Shengbin, et al.. (2019). Neural Open Relation Extraction via an Overlap-aware Sequence Tagging Scheme. arXiv (Cornell University). 1 indexed citations
8.
Jia, Shengbin & Yang Xiang. (2019). Chinese User Service Intention Classification Based on Hybrid Neural Network. Journal of Physics Conference Series. 1229(1). 12054–12054. 1 indexed citations
9.
Chen, Xiaojun, Shengbin Jia, & Yang Xiang. (2019). A review: Knowledge reasoning over knowledge graph. Expert Systems with Applications. 141. 112948–112948. 581 indexed citations breakdown →
10.
Jia, Shengbin, et al.. (2018). TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs.. arXiv (Cornell University). 2 indexed citations
11.
Jia, Shengbin, et al.. (2018). Chinese Open Relation Extraction and Knowledge Base Establishment. ACM Transactions on Asian and Low-Resource Language Information Processing. 17(3). 1–22. 33 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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