Science China Information Sciences

Top Research Topics at Science in China Series F: Information Sciences?

The journal focuses largely on the fields of Artificial intelligence, Algorithm, Control theory, Computer vision and Mathematical optimization. In the journal, Machine learning and Pattern recognition are investigated in conjunction with one another to address concerns in Artificial intelligence research. It encompasses presentations on Control theory, specifically Nonlinear system and Control theory.

• Artificial intelligence (14.69%)
• Algorithm (14.17%)
• Control theory (12.80%)

What are the most cited papers published in the journal?

• A literature survey on smart cities (400 citations)
• Link prediction in social networks: the state-of-the-art (338 citations)
• The Sunway TaihuLight supercomputer: system and applications (270 citations)

Research areas of the most cited articles at Science in China Series F: Information Sciences:

The published articles explore disciplines such as Control theory, Artificial intelligence, Algorithm, Nonlinear system and Mathematical optimization. Control theory research in the journal articles connects with the study of Artificial neural network. The works on Artificial intelligence tackled in the published articles bring together disciplines like Machine learning, Computer vision and Pattern recognition.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Quantum mechanics
• Operating system

The previous edition focused in particular on these issues:

The discussions in the journal mainly cover the fields of Artificial intelligence, Theoretical computer science, Control theory, Computer vision and Optoelectronics. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Pulse sequence and Natural language processing. It explores issues in Theoretical computer science which can be linked to other research areas like Synchronization (computer science), Ciphertext, Fault analysis and Directed acyclic graph.

The close relationship between Control (management) and Boundary (topology) and Tracking (particle physics) is one of the points of interest dissected in Control theory research. Computer vision research featured in the journal incorporates concerns from various other topics such as Variable (computer science), Subspace topology and Memristor. The journal addresses concerns in Optoelectronics which are intertwined with other disciplines, such as Blocking (radio), Electrostatic discharge, Threshold voltage degradation and Nano cmos.

The most cited articles from the last journal are:

• Observer-based boundary control for an asymmetric output-constrained flexible robotic manipulator (9 citations)
• Active disturbance rejection control for fractional reaction-diffusion equations with spatially varying diffusivity and time delay (4 citations)
• Efficient privacy-preserving user authentication scheme with forward secrecy for industry 4.0 (3 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Science in China Series F: Information Sciences (based on the number of publications) are:

• Xiaohu You (42 papers) absent at the last edition,
• Ran Tao (27 papers) absent at the last edition,
• Ru Huang (24 papers) absent at the last edition,
• Zesong Fei (23 papers) absent at the last edition,
• Lei Guo (22 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Science in China Series F: Information Sciences (based on the number of publications) are:

• Chinese Academy of Sciences (564 papers) published 5 papers at the last edition, 30 less than at the previous edition,
• Tsinghua University (349 papers) published 3 papers at the last edition, 18 less than at the previous edition,
• Peking University (250 papers) published 2 papers at the last edition, 11 less than at the previous edition,
• Xidian University (229 papers) published 1 paper at the last edition, 10 less than at the previous edition,
• Southeast University (216 papers) published 2 papers at the last edition, 20 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2022 edition, 8.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 53.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.20% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.63% of all publications and 19.51% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.