Top Papers •  Top 20 papers overall 1997-August 31, 2007 •  Top 20 papers published in the last two years 1995-August 31, 2007 Top Authors Top 20 overall. 1997-August 31, 2007 Top Institutions Top 20 overall. 1997-August 31, 2007 Top Nations Top 20 overall. 1997-August 31, 2007 Top Journals Top 20 overall. 1997-August 31, 2007 Time Series • 1 year • 5 year Field Distribution Field representation. 1997-August 31, 2007 Research Front Maps Research Front Map(s) for this special topic including interviews from authors with papers in the core front. 1997-August 31, 2007 Read features, interviews, first-person essays, profiles, other features about people in a wide variety of fields, along with information on journals & institutions in the topic of Artificial Neural Networks. January 2008 Professor Jinde Cao

When the subject of Artificial Neural Networks took off in the late 1980s, researchers hoped that a system of artificial intelligence directly inspired by biological nervous systems would help them understand the working of the human brain. Since then, these information processing systems, which are based on large numbers of highly interconnected, simple processors, have made their mark in applications that first train them on large databases of prior examples and then use them to detect complex trends or patterns in another body of data.

The Special Topics 10-year ranking of the hottest papers reflects the applications where neural networks are now put to use. The list leads off with a paper on the use of neural networks for the classification and diagnostic prediction of cancers. A quartet of papers describes the use of these networks for predicting the characteristics of proteins. Other applications in the top 20 list include face detection, gene expression patterns, forecasting water resource use, soil hydraulics, and atmospheric sciences. Seven of the hottest papers from the past decade are analyses of the problem of global stability for networks with time delays.

It’s this question of global stability in neural networks that far and away dominates the ranking of the hottest papers from the last two-years. Fifteen of the top 20 papers examine this one issue, with applications in proteomics and genomics and reviews filling out the remaining five.

Methodology

To construct this database, papers were extracted based on title-supplied keywords for Artificial Neural Networks. The keywords used were as follows: 

"neural network*" NOT "central*" NOT "CNS" NOT "*brain*" NOT "neuron*" NOT "cortical"

The baseline time span for this database is 1997-August 31, 2007 (fourth bimonthly period in 2007). The resulting database contained 19,391 (10 years) and 6,156 (2 years) papers; 31,861 authors; 118 countries; 2,448 journals; and 6,963 institutions.

Rankings

Once the database was in place, it was used to generate the lists of top 20 papers (two- and ten-year periods), authors, journals, institutions, and nations, covering a time span of 1997-August 31, 2007 (fourth bimonthly period of 2007, a 10-year plus 8-month period).

The top 20 papers are ranked according to total cites. Rankings for author, journal, institution, and country are listed in three ways: according to total cites, total papers, and total cites/paper. The paper thresholds and corresponding percentages used to determine scientist, institution, country, and journal rankings according to total cites/paper, and total papers respectively are as follows:

Entity:	Scientists	Institutions	Countries	Journals
Thresholds:	12	53	25	15
Percentage:	1%	1%	50%	10%

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