Xueheng Qiu

1.3k total citations · 1 hit paper
14 papers, 973 citations indexed

About

Xueheng Qiu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Xueheng Qiu has authored 14 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Xueheng Qiu's work include Energy Load and Power Forecasting (11 papers), Machine Fault Diagnosis Techniques (5 papers) and Neural Networks and Applications (4 papers). Xueheng Qiu is often cited by papers focused on Energy Load and Power Forecasting (11 papers), Machine Fault Diagnosis Techniques (5 papers) and Neural Networks and Applications (4 papers). Xueheng Qiu collaborates with scholars based in Singapore and United Kingdom. Xueheng Qiu's co-authors include Ponnuthurai Nagaratnam Suganthan, G.A.J. Amaratunga, Ye Ren, Le Zhang and Rakesh Katuwal and has published in prestigious journals such as Information Sciences, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Xueheng Qiu

14 papers receiving 955 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.

Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting

2017 352 citations Xueheng Qiu, Ye Ren et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xueheng Qiu Singapore	11	544	312	292	131	119	14	973
Grzegorz Dudek Poland	17	875 1.6×	283 0.9×	378 1.3×	154 1.2×	94 0.8×	59	1.2k
J. F. Torres Spain	11	445 0.8×	316 1.0×	234 0.8×	69 0.5×	66 0.6×	22	1.1k
Tao Xiong China	11	297 0.5×	246 0.8×	280 1.0×	70 0.5×	110 0.9×	17	841
Guo‐Feng Fan Taiwan	17	916 1.7×	304 1.0×	446 1.5×	199 1.5×	158 1.3×	39	1.4k
Ali Fiaz United Arab Emirates	7	608 1.1×	243 0.8×	224 0.8×	99 0.8×	65 0.5×	7	972
Chia-Nan Ko Taiwan	12	561 1.0×	355 1.1×	239 0.8×	135 1.0×	243 2.0×	36	1.0k
Hansika Hewamalage Australia	5	310 0.6×	252 0.8×	285 1.0×	49 0.4×	69 0.6×	6	995
Chengqing Yu China	19	447 0.8×	295 0.9×	155 0.5×	41 0.3×	150 1.3×	43	1.0k
Yiliao Song Australia	17	481 0.9×	494 1.6×	212 0.7×	53 0.4×	44 0.4×	32	1.1k
Muxi Chen Hong Kong	2	293 0.5×	386 1.2×	306 1.0×	67 0.5×	101 0.8×	3	1.1k

Countries citing papers authored by Xueheng Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Xueheng Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueheng Qiu

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

All Works

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14 of 14 papers shown

1.

Qiu, Xueheng, et al.. (2019). Remaining Useful Life Prediction Using Time-Frequency Feature and Multiple Recurrent Neural Networks. 916–923. 11 indexed citations

2.

Qiu, Xueheng, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2019). Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting. 3(1). 33–42. 19 indexed citations

3.

Qiu, Xueheng, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2018). Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting. Knowledge-Based Systems. 145. 182–196. 130 indexed citations

4.

Qiu, Xueheng, et al.. (2018). Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting. 1758–1763. 7 indexed citations

5.

Katuwal, Rakesh, et al.. (2017). A heterogeneous ensemble of trees. 1–6. 3 indexed citations

6.

Qiu, Xueheng, Ye Ren, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2017). Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting. Applied Soft Computing. 54. 246–255. 352 indexed citations breakdown →

7.

Qiu, Xueheng, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2017). Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines. Procedia Computer Science. 108. 1308–1317. 36 indexed citations

8.

Qiu, Xueheng, Le Zhang, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2017). Oblique random forest ensemble via Least Square Estimation for time series forecasting. Information Sciences. 420. 249–262. 92 indexed citations

9.

Qiu, Xueheng, Ye Ren, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2017). Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques. 1–8. 11 indexed citations

10.

Qiu, Xueheng, et al.. (2016). Heterogeneous ensemble for power load demand forecasting. 2. 2040–2045. 4 indexed citations

11.

Qiu, Xueheng, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2016). Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network. 1394–1399. 16 indexed citations

12.

Ren, Ye, Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2015). Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network. 687–694. 17 indexed citations

13.

Qiu, Xueheng, Le Zhang, Ye Ren, Ponnuthurai Nagaratnam Suganthan, & G.A.J. Amaratunga. (2014). Ensemble deep learning for regression and time series forecasting. 1–6. 259 indexed citations

14.

Ren, Ye, Xueheng Qiu, & Ponnuthurai Nagaratnam Suganthan. (2014). Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting. 36. 1–6. 16 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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