| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 97 | 162 | 294 | 32 |
| Computer Science | 148 | 176 | 313 | 32 |
The scientific interests tackled in China Communications are Computer network, Distributed computing, Algorithm, Wireless and Telecommunications. Some problems in Computer network that were presented in China Communications overlapped with concepts under Transmission (telecommunications) and Throughput. The studies tackled, which mainly focus on Distributed computing, apply to Cloud computing as well.
China Communications holds forums on Algorithm that merges themes from other disciplines such as MIMO and Communication channel. The study on Telecommunications presented in the journal intersects with subjects under the field of Electronic engineering.
The journal articles tackle a plethora of topics, such as Computer network, Distributed computing, Wireless, Cloud computing and 5G. The studies on Computer network discussed at the most cited publications can also contribute to research in the domains of Wireless network and Efficient energy use. The journal papers explore issues in Wireless which can be linked to other research areas like Electronic engineering and Artificial intelligence.
China Communications facilitates discussions on Computer network, Wireless, Communication channel, Distributed computing and Algorithm. The study of Computer network encompasses disciplines such as Throughput, as well as fields such as Network packet, all of which overlap with one another. While the journal focused on Wireless, it was also able to explore topics like Electronic engineering, Electrical engineering, Communications system and Key (cryptography).
Transmission (telecommunications) and Signal processing are some topics wherein Communication channel research discussed in it have an impact. The research on Distributed computing presented in the journal often intersects with areas of study such as
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.
The top authors publishing in China Communications (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing in China Communications (based on the number of publications) are:
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.
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 2021 edition, 14.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 46.75% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.13% of all publications and 18.83% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Yi Liu;Xingliang Yuan;Zehui Xiong;Jiawen Kang
(2020)Yejun He;Yaling Chen;Long Zhang;Sai-Wai Wong
(2020)Shanzhi Chen;Shaohui Sun;Shaoli Kang
(2020)Unknown
(2022)Zhi Chen;Xinying Ma;Chong Han;Qiye Wen
(2021)Zhongqian Niu;Bo Zhang;Jiale Wang;Ke Liu
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