Ce Li

532 total citations · 1 hit paper
8 papers, 420 citations indexed

About

Ce Li is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Ce Li has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Cognitive Neuroscience. Recurrent topics in Ce Li's work include Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Machine Learning and ELM (2 papers). Ce Li is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Machine Learning and ELM (2 papers). Ce Li collaborates with scholars based in China, United States and Hong Kong. Ce Li's co-authors include Lian Li, Yang Zhang, Fan Zhou, Zhenyu He, Yi Yang, Yang Zhang, Goce Trajcevski, Ting Zhong, Hui Ren and Hong Kang and has published in prestigious journals such as Applied Energy, Knowledge-Based Systems and International Journal of Intelligent Systems.

In The Last Decade

Ce Li

7 papers receiving 413 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.

Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods

2017 308 citations Yang Zhang, Ce Li et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ce Li China	5	257	121	101	54	53	8	420
Priya L. Donti United States	6	156 0.6×	69 0.6×	28 0.3×	45 0.8×	34 0.6×	11	437
Binrong Wu China	11	247 1.0×	122 1.0×	147 1.5×	137 2.5×	27 0.5×	22	521
Yuyang Gao China	12	368 1.4×	175 1.4×	201 2.0×	45 0.8×	7 0.1×	18	568
Yao Dong China	11	167 0.6×	130 1.1×	86 0.9×	61 1.1×	6 0.1×	28	335
Grzegorz Marcjasz Poland	13	746 2.9×	84 0.7×	288 2.9×	213 3.9×	28 0.5×	20	931
Cristian Challú United States	3	126 0.5×	107 0.9×	157 1.6×	44 0.8×	7 0.1×	6	369
Vítor Cerqueira Canada	11	65 0.3×	139 1.1×	111 1.1×	42 0.8×	18 0.3×	23	419
George P. Papaioannou Greece	13	329 1.3×	38 0.3×	37 0.4×	81 1.5×	9 0.2×	28	499
Sheng‐Hua Xiong China	12	63 0.2×	95 0.8×	221 2.2×	24 0.4×	11 0.2×	33	402

Countries citing papers authored by Ce Li

Since Specialization

Citations

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

Fields of papers citing papers by Ce Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ce Li

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

8 of 8 papers shown

1.

Li, Ce, et al.. (2023). Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. 1288–1297. 2 indexed citations

2.

Ren, Hui, Shuwei Zhao, Qian Li, et al.. (2023). Comparative effectiveness of hyaluronic acid, platelet-rich plasma, and platelet-rich fibrin in treating temporomandibular disorders: a systematic review and network meta-analysis. Head & Face Medicine. 19(1). 39–39. 19 indexed citations

3.

Zhou, Fan, et al.. (2021). Uncertainty‐aware network alignment. International Journal of Intelligent Systems. 36(12). 7895–7924. 3 indexed citations

4.

Xu, Xovee, Ting Zhong, Ce Li, Goce Trajcevski, & Fan Zhou. (2021). Heterogeneous dynamical academic network for learning scientific impact propagation. Knowledge-Based Systems. 238. 107839–107839. 13 indexed citations

5.

He, Zhenyu, Ce Li, Fan Zhou, & Yi Yang. (2021). Rumor Detection on Social Media with Event Augmentations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2020–2024. 55 indexed citations

6.

Li, Ce, et al.. (2018). Colorblind Image Correction Based on Segmentation and Similarity Judgement. Journal of Physics Conference Series. 1098. 12028–12028.

7.

Zhang, Yang, Ce Li, & Lian Li. (2017). Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods. Applied Energy. 190. 291–305. 308 indexed citations breakdown →

8.

Zhang, Yang, Ce Li, & Lian Li. (2016). Wavelet transform and Kernel-based extreme learning machine for electricity price forecasting. Energy Systems. 9(1). 113–134. 20 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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