Dongbao Jia

462 total citations
33 papers, 289 citations indexed

About

Dongbao Jia is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Dongbao Jia has authored 33 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 4 papers in Signal Processing. Recurrent topics in Dongbao Jia's work include Metaheuristic Optimization Algorithms Research (7 papers), Neural Networks and Applications (6 papers) and Blind Source Separation Techniques (4 papers). Dongbao Jia is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Neural Networks and Applications (6 papers) and Blind Source Separation Techniques (4 papers). Dongbao Jia collaborates with scholars based in China, Japan and United States. Dongbao Jia's co-authors include Dengzhi Liu, Yuki Todo, Shangce Gao, Hongwei Dai, Shigeki Hirobayashi, Shuangbao Song, Qiaosheng Zhang, Yong Zhang, Huan Rong and M. Hasegawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Dongbao Jia

31 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongbao Jia China 10 137 46 40 40 35 33 289
Ahmed Sallam China 9 126 0.9× 62 1.3× 35 0.9× 23 0.6× 98 2.8× 17 277
Reza Rastegar United States 11 118 0.9× 42 0.9× 59 1.5× 43 1.1× 56 1.6× 33 304
Ming-Da Lu Taiwan 5 181 1.3× 30 0.7× 18 0.5× 24 0.6× 13 0.4× 9 324
Nathanael A. Heckert Egypt 3 162 1.2× 36 0.8× 79 2.0× 50 1.3× 25 0.7× 4 450
João Roberto Bertini Brazil 10 175 1.3× 25 0.5× 10 0.3× 14 0.3× 35 1.0× 36 268
Amauri H. Souza Brazil 9 214 1.6× 41 0.9× 12 0.3× 24 0.6× 12 0.3× 22 335

Countries citing papers authored by Dongbao Jia

Since Specialization
Citations

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

Fields of papers citing papers by Dongbao Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongbao Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Dongbao Jia. A scholar is included among the top collaborators of Dongbao 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 Dongbao Jia. Dongbao Jia 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.
2.
Jia, Dongbao, et al.. (2025). Gravitational wave signal prediction technique based on advanced seasonal-trend decomposition using Loess. Classical and Quantum Gravity. 42(6). 65002–65002.
3.
Gupta, Shubham, et al.. (2025). Dmixnet: a dendritic multi-layered perceptron architecture for image recognition. Artificial Intelligence Review. 58(5). 2 indexed citations
4.
Jia, Dongbao, et al.. (2025). Hybrid framework for improved PM2.5 prediction based on seasonal-trend decomposition and tailored component processing. Scientific Reports. 15(1). 21601–21601. 1 indexed citations
5.
Jia, Dongbao, Wenbin Hu, Jing Sun, et al.. (2024). Multi-Objective Combinatorial Optimization Algorithm Based on Asynchronous Advantage Actor–Critic and Graph Transformer Networks. Electronics. 13(19). 3842–3842. 2 indexed citations
6.
7.
Jia, Dongbao, et al.. (2023). Application of intelligent time series prediction method to dew point forecast. Electronic Research Archive. 31(5). 2878–2899. 6 indexed citations
8.
Sun, Jing, et al.. (2022). An Adaptive Reference Vector-Based Interval Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation. 27(5). 1235–1249. 19 indexed citations
9.
Jia, Dongbao, et al.. (2022). Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning. Discrete Dynamics in Nature and Society. 2022(1). 4 indexed citations
10.
Jia, Dongbao, et al.. (2021). Application and Evolution for Neural Network and Signal Processing in Large‐Scale Systems. Complexity. 2021(1). 10 indexed citations
11.
Zhang, Kaizhi, Tao Zhou, Xinxin Ban, et al.. (2021). A novel thermally-activated delayed fluorescent probe based on hydroxyl as identify group for detection of iron ions. Journal of Molecular Structure. 1251. 132074–132074. 10 indexed citations
12.
Jia, Dongbao, et al.. (2021). Intelligent Dendritic Neural Model for Classification Problems. Symmetry. 14(1). 11–11. 6 indexed citations
13.
Jia, Dongbao, et al.. (2020). Validation of Large-Scale Classification Problem in Dendritic Neuron Model Using Particle Antagonism Mechanism. Electronics. 9(5). 792–792. 18 indexed citations
14.
Jia, Dongbao, et al.. (2019). EEG Processing in Internet of Medical Things Using Non-Harmonic Analysis: Application and Evolution for SSVEP Responses. IEEE Access. 7. 11318–11327. 18 indexed citations
15.
Jia, Dongbao, Shuxin Zheng, Lin Yang, Yuki Todo, & Shangce Gao. (2018). A Dendritic Neuron Model with Nonlinearity Validation on Istanbul Stock and Taiwan Futures Exchange Indexes Prediction. 242–246. 9 indexed citations
16.
Yu, Yang, Hongwei Dai, Shangce Gao, et al.. (2018). Complete receptor editing operation based on quantum clonal selection algorithm for optimization problems. IEEJ Transactions on Electrical and Electronic Engineering. 14(3). 411–421. 3 indexed citations
17.
Song, Shuangbao, et al.. (2018). AIMOES: Archive information assisted multi-objective evolutionary strategy for ab initio protein structure prediction. Knowledge-Based Systems. 146. 58–72. 41 indexed citations
18.
19.
Jia, Dongbao, et al.. (2017). The optimum colour temperature for illumination of Japanese-style gardens in summer and winter. Lighting Research & Technology. 51(1). 82–98. 3 indexed citations
20.
Jia, Dongbao, et al.. (2017). Application to SSVEP of chirp stimulus using non-harmonic analysis. 379–383. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ahmed Sallam Breakdown of academic impact, for papers by Reza Rastegar Breakdown of academic impact, for papers by Ming-Da Lu Breakdown of academic impact, for papers by Nathanael A. Heckert Breakdown of academic impact, for papers by João Roberto Bertini Breakdown of academic impact, for papers by Amauri H. Souza
Rankless by CCL
2026