David Enke

3.1k total citations · 1 hit paper
70 papers, 2.1k citations indexed

About

David Enke is a scholar working on Management Science and Operations Research, Economics and Econometrics and Finance. According to data from OpenAlex, David Enke has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Management Science and Operations Research, 22 papers in Economics and Econometrics and 18 papers in Finance. Recurrent topics in David Enke's work include Stock Market Forecasting Methods (41 papers), Forecasting Techniques and Applications (13 papers) and Financial Markets and Investment Strategies (11 papers). David Enke is often cited by papers focused on Stock Market Forecasting Methods (41 papers), Forecasting Techniques and Applications (13 papers) and Financial Markets and Investment Strategies (11 papers). David Enke collaborates with scholars based in United States, Germany and South Korea. David Enke's co-authors include Suraphan Thawornwong, Xiao Zhong, Nijat Mehdiyev, Ci̇han H. Dağli, Peter Loos, Peter Fettke, Renzhong Wang, Wen‐Chyuan Chiang, Tong Wu and Young‐Min Kim and has published in prestigious journals such as Atmospheric Environment, Expert Systems with Applications and Neurocomputing.

In The Last Decade

David Enke

67 papers receiving 1.9k 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.

Forecasting daily stock market return using dimensionality reduction

2016 271 citations David Enke et al. Expert Systems with Applications profile →

Peers

Countries citing papers authored by David Enke

Since Specialization

Citations

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

Fields of papers citing papers by David Enke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Enke

This figure shows the co-authorship network connecting the top 25 collaborators of David Enke. A scholar is included among the top collaborators of David Enke 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 David Enke. David Enke 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	Using machine and deep learning models, on-chain data, and technical analysis for predicting bitcoin price direction and magnitude 2025 ·Engineering Applications of Artificial Intelligence ·(unknown), David Enke	0
2	Bitcoin price direction prediction using on-chain data and feature selection 2025 ·Machine Learning with Applications ·(unknown), David Enke	0
3	Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems 2024 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), David Enke	3
4	A novel trading system for the stock market using Deep Q-Network action and instance selection 2024 ·Expert Systems with Applications ·(unknown), (unknown), David Enke	2
5	Object Process Methodology to Turning Focused System Architecture Design for Manufacturing 2024 ·(unknown), David Enke, M. Buchely	0
6	Using Neural Networks to Forecast Volatility for an Asset Allocation Strategy Based on the Target Volatility 2016 ·Procedia Computer Science ·Y.-M. Kim, David Enke	7
7	Flexible and Intelligent Learning Architectures for SOS (FILA-SoS) 2015 ·Ci̇han H. Dağli, David Enke, (unknown), Dinçer Konur, Ruwen Qin, Abhijit Gosavi, Renzhong Wang, (unknown), (unknown), (unknown)	3
8	Evaluation of GARCH, RNN and FNN Models for Forecasting Volatility in the Financial Markets 2013 ·SSRN Electronic Journal ·(unknown), David Enke	5
9	Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network 2013 ·Intelligent Automation & Soft Computing ·David Enke, Nijat Mehdiyev	37
10	The Effects Of Congressional Elections On Future Equity Market Returns 2008 ·SSRN Electronic Journal ·(unknown), Michael C. Davis, David Enke	1
11	Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering Computational Intelligence in Architecting Complex Engineering 2007 ·American Society of Mechanical Engineers eBooks ·Ci̇han H. Dağli, Anna L. Buczak, David Enke, Mark J. Embrechts, Okan K. Ersoy	1
12	A hybrid option pricing model using a neural network for estimating volatility 2007 ·International Journal of General Systems ·(unknown), David Enke, Ci̇han H. Dağli	19
13	The development of hybrid intelligent systems for technical analysis based equivolume charting 2007 ·David Enke, (unknown)	1
14	Intelligent technical analysis based equivolume charting for stock trading using neural networks 2006 ·Expert Systems with Applications ·(unknown), David Enke	91
15	The use of data mining and neural networks for forecasting stock market returns 2005 ·Expert Systems with Applications ·David Enke, Suraphan Thawornwong	349
16	Cost allocation for transmission investment using agent-based game theory 2004 ·(unknown), David Enke, Badrul Chowdhury	2
17	Valuation for the Strategic Management of Research and Development Projects: The Deferral Option 2004 ·Engineering Management Journal ·(unknown), David Enke, (unknown)	20
18	The adaptive selection of financial and economic variables for use with artificial neural networks 2003 ·Neurocomputing ·Suraphan Thawornwong, David Enke	131
19	Machine-part family formation utilizing an art1 neural network implemented on a parallel neuro-computer 1998 ·Computers & Industrial Engineering ·David Enke, (unknown), Ci̇han H. Dağli	7
20	<title>Modeling biological visual processes for improved contrast enhancement and edge detection of artificial visual systems</title> 1996 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·David Enke, Ci̇han H. Dağli	2

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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