Jheng-Long Wu

982 total citations
38 papers, 711 citations indexed

About

Jheng-Long Wu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Jheng-Long Wu has authored 38 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 5 papers in Information Systems. Recurrent topics in Jheng-Long Wu's work include Stock Market Forecasting Methods (10 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Jheng-Long Wu is often cited by papers focused on Stock Market Forecasting Methods (10 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Jheng-Long Wu collaborates with scholars based in Taiwan, China and Hong Kong. Jheng-Long Wu's co-authors include Pei‐Chann Chang, Liang-Chih Yu, Jyun-Jie Lin, Meng-Hui Chen, Chin-Yuan Fan, Amy J.C. Trappey, Charles V. Trappey, K. Robert Lai, T.C.E. Cheng and Wei-Yun Ma and has published in prestigious journals such as IEEE Access, International Journal of Production Economics and Neurocomputing.

In The Last Decade

Jheng-Long Wu

37 papers receiving 679 citations

Peers

Replace Nijat Mehdiyev with:

Nijat Mehdiyev Germany

Dharmashankar Subramanian United States

C. Robert Kenley United States

Leonid Sheremetov Mexico

Omar Rojas Mexico

Wallace R. Blischke United States

Jiaming Liu China

Stefanka Chukova New Zealand

Gülser Köksal Türkiye

Huanhuan Zhang China

Nijat Mehdiyev Germany View profile →

Citations per field, relative to Jheng-Long Wu

Jheng-Long Wu · 1×

×0.7 196

AI

×0.9 171

MSOR

×0.5 51

EE

×0.1 11

MTI

×1.1 61

EEE

Citations per year, relative to Jheng-Long Wu

Jheng-Long Wu · 1×

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Countries citing papers authored by Jheng-Long Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jheng-Long Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jheng-Long Wu. 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 Jheng-Long Wu. The network helps show where Jheng-Long Wu may publish in the future.

Co-authorship network of co-authors of Jheng-Long Wu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An Hybrid Clustering and BERT Model for Chinese Threads in Social Media 2024 ·(unknown), Jheng-Long Wu	1
2	Dynamic traffic network representation model for improving the prediction performance of passenger flow for mass rapid transit 2024 ·Knowledge-Based Systems ·Jheng-Long Wu, (unknown), (unknown), (unknown)	4
3	Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices 2023 ·Applied Intelligence ·Jheng-Long Wu, (unknown), (unknown)	6
4	Factor Detection Task of Cyberbullying Using the Deep Learning Model 2022 ·2022 IEEE International Conference on Big Data (Big Data) ·(unknown), (unknown), (unknown), (unknown), Jheng-Long Wu	1
5	Classifying the Severity of Cyberbullying Incidents by Using a Hierarchical Squashing-Attention Network 2022 ·Applied Sciences ·Jheng-Long Wu, (unknown)	8
6	A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches 2022 ·Soft Computing ·Jheng-Long Wu, (unknown), Chin-Hsiung Hsu	16
7	Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model 2020 ·IEEE Access ·Jheng-Long Wu, (unknown), Liang-Chih Yu, K. Robert Lai	35
8	Using an analogical reasoning framework to infer language patterns for negative life events 2019 ·BMC Medical Informatics and Decision Making ·Jheng-Long Wu, Xiang Xiao, Liang-Chih Yu, (unknown), K. Robert Lai	1
9	Intelligent compilation of patent summaries using machine learning and natural language processing techniques 2019 ·Advanced Engineering Informatics ·Amy J.C. Trappey, Charles V. Trappey, Jheng-Long Wu, (unknown)	61
10	A Deep Recurrent Neural Network for Air Quality Classification. 2018 ·J. Inf. Hiding Multim. Signal Process. ·(unknown), (unknown), Jheng-Long Wu, Pei‐Chann Chang	20
11	Bike sharing demand prediction using artificial immune system and artificial neural network 2017 ·Soft Computing ·Pei‐Chann Chang, Jheng-Long Wu, (unknown), Min Zhang, (unknown)	30
12	A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection 2017 ·Pattern Analysis and Applications ·(unknown), (unknown), Jheng-Long Wu, Pei‐Chann Chang, Meng-Hui Chen	15
13	A population-based incremental learning approach with artificial immune system for network intrusion detection 2016 ·Engineering Applications of Artificial Intelligence ·Meng-Hui Chen, Pei‐Chann Chang, Jheng-Long Wu	55
14	A Feature-Partition and Under-Sampling Based Ensemble Classifier for Web Spam Detection 2015 ·International Journal of Machine Learning and Computing ·(unknown), (unknown), Jheng-Long Wu, (unknown)	7
15	A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting 2015 ·Applied Soft Computing ·Pei‐Chann Chang, Jheng-Long Wu, Jyun-Jie Lin	65
16	Detecting causality from online psychiatric texts using inter-sentential language patterns 2012 ·BMC Medical Informatics and Decision Making ·Jheng-Long Wu, Liang-Chih Yu, Pei‐Chann Chang	13
17	A Trend‐Based Segmentation Method and the Support Vector Regression for Financial Time Series Forecasting 2012 ·Mathematical Problems in Engineering ·Jheng-Long Wu, Pei‐Chann Chang	20
18	The stability analysis for a novel feedback neural network with partial connection 2012 ·Neurocomputing ·Didi Wang, Pei‐Chann Chang, Li Zhang, Jheng-Long Wu, Changle Zhou	2
19	Emotion classification by removal of the overlap from incremental association language features 2011 ·Journal of the Chinese Institute of Engineers ·Jheng-Long Wu, Liang-Chih Yu, Pei‐Chann Chang	4
20	Social chance discovery 2009 ·(unknown), (unknown), Jheng-Long Wu	0

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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