Pian Qi

700 total citations · 1 hit paper
12 papers, 340 citations indexed

About

Pian Qi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Pian Qi has authored 12 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Pian Qi's work include Privacy-Preserving Technologies in Data (4 papers), Traffic control and management (2 papers) and Traffic Prediction and Management Techniques (2 papers). Pian Qi is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Traffic control and management (2 papers) and Traffic Prediction and Management Techniques (2 papers). Pian Qi collaborates with scholars based in Italy and China. Pian Qi's co-authors include Francesco Piccialli, Diletta Chiaro, Giancarlo Fortino, Michele Ianni, Antonella Guzzo, Fabio Giampaolo, Chun Liu, Stefano Izzo, Salvatore Cuomo and Valerio Bellandi and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Pian Qi

11 papers receiving 326 citations

Hit Papers

align trajectories

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.

Model aggregation techniques in federated learning: A comprehensive survey

2023 167 citations Pian Qi, Diletta Chiaro et al. Future Generation Computer Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pian Qi Italy	7	200	69	50	40	31	12	340
Juntae Kim South Korea	11	180 0.9×	26 0.4×	32 0.6×	88 2.2×	37 1.2×	43	382
Fang Zhou China	10	119 0.6×	72 1.0×	88 1.8×	51 1.3×	17 0.5×	40	308
Jamil Ahmad Pakistan	9	139 0.7×	106 1.5×	106 2.1×	46 1.1×	36 1.2×	18	357
Siti Zulaikha Mohd Jamaludin Malaysia	10	238 1.2×	26 0.4×	56 1.1×	76 1.9×	48 1.5×	30	341
Punit Rathore Australia	10	166 0.8×	54 0.8×	53 1.1×	70 1.8×	24 0.8×	27	342
Amanpreet Singh India	6	121 0.6×	35 0.5×	39 0.8×	44 1.1×	38 1.2×	19	306
Huadong Wang China	11	280 1.4×	63 0.9×	44 0.9×	75 1.9×	33 1.1×	29	416
Bharti Khemani India	4	92 0.5×	19 0.3×	24 0.5×	56 1.4×	31 1.0×	7	305

Countries citing papers authored by Pian Qi

Since Specialization

Citations

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

Fields of papers citing papers by Pian Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pian Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Pian Qi. A scholar is included among the top collaborators of Pian Qi 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 Pian Qi. Pian Qi 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:

12 of 12 papers shown

1.

Piccialli, Francesco, et al.. (2025). AgentAI: A comprehensive survey on autonomous agents in distributed AI for industry 4.0. Expert Systems with Applications. 291. 128404–128404. 5 indexed citations

2.

Piccialli, Francesco, et al.. (2025). AGRIFOLD: AGRIculture Federated learning for Optimized Leaf disease Detection. Expert Systems with Applications. 289. 128371–128371.

3.

Chiaro, Diletta, Pian Qi, Antonio Pescapè, & Francesco Piccialli. (2025). Generative AI-Empowered Digital Twin: A Comprehensive Survey With Taxonomy. IEEE Transactions on Industrial Informatics. 21(6). 4287–4295. 3 indexed citations

4.

Qi, Pian, Diletta Chiaro, & Francesco Piccialli. (2024). Small models, big impact: A review on the power of lightweight Federated Learning. Future Generation Computer Systems. 162. 107484–107484. 22 indexed citations

5.

Chiaro, Diletta, et al.. (2024). On the Road to AIoT: A Framework for Vehicle Road Cooperation. IEEE Internet of Things Journal. 12(5). 5783–5791. 3 indexed citations

6.

Piccialli, Francesco, Diletta Chiaro, Pian Qi, Valerio Bellandi, & Ernesto Damiani. (2024). Federated and edge learning for large language models. Information Fusion. 117. 102840–102840. 6 indexed citations

7.

Piccialli, Francesco, et al.. (2024). GRAPHITE — Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency. Information Fusion. 106. 102265–102265. 3 indexed citations

8.

Qi, Pian, Diletta Chiaro, Fabio Giampaolo, & Francesco Piccialli. (2023). A blockchain-based secure Internet of medical things framework for stress detection. Information Sciences. 628. 377–390. 38 indexed citations

9.

Qi, Pian, Diletta Chiaro, Antonella Guzzo, et al.. (2023). Model aggregation techniques in federated learning: A comprehensive survey. Future Generation Computer Systems. 150. 272–293. 167 indexed citations breakdown →

10.

Qi, Pian, Diletta Chiaro, & Francesco Piccialli. (2023). FL-FD: Federated learning-based fall detection with multimodal data fusion. Information Fusion. 99. 101890–101890. 53 indexed citations

11.

Giampaolo, Fabio, et al.. (2022). Physics-informed neural networks approach for 1D and 2D Gray-Scott systems. Advanced Modeling and Simulation in Engineering Sciences. 9(1). 17 indexed citations

12.

Liu, Chun, et al.. (2022). Physics-Informed Neural Network Integrating PointNet-Based Adaptive Refinement for Investigating Crack Propagation in Industrial Applications. IEEE Transactions on Industrial Informatics. 19(2). 2210–2218. 23 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 Juntae Kim Breakdown of academic impact, for papers by Fang Zhou Breakdown of academic impact, for papers by Jamil Ahmad Breakdown of academic impact, for papers by Siti Zulaikha Mohd Jamaludin Breakdown of academic impact, for papers by Punit Rathore Breakdown of academic impact, for papers by Amanpreet Singh Breakdown of academic impact, for papers by Huadong Wang Breakdown of academic impact, for papers by Bharti Khemani