Robotics and Computer-Integrated Manufacturing 70 (2021) 102124
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leading institutes and researchers, and the research progress of
Blockchain.
2.2. Dimension 1. Year of publication
The number of papers published each year reects the Blockchain
development and research status. The number increases in all six elds
in recent four years according to the statistics. Specically, the numbers
of publication in manufacturing, supply chain are presented in Fig. 2.
The number of papers in the two areas is projected to continue to grow
steadily. Besides, the total of publication in industrial blockchain (the six
elds) is also presented. It obviously saw a rapid increase during the
four-year period.
2.3. Dimension 2. Leading Research Institutes and Researchers
Analysis of the institutes and researchers involved reveal the fore-
runner and outstanding researchers of Blockchain research. By sorting
the papers published between 2017-2019 and the cited times is no less
than 10, and counting the number of times each author appears and
their institutes, the numbers of papers from each institute were ob-
tained. A total of 11 institutions published at least two papers.
As shown in Fig. 3. The largest number of papers originate from
Guangdong University of Technology, Seoul National University of
Science and Technology, and the University of Hong Kong, followed by
Shanghai University. These four institutes are the main source of
Blockchain research and are hosts to the predominant scholars in this
eld.
Since the number of papers from each institute does not consider the
situation where a paper has multiple authors belonging to different in-
stitutions, it is necessary to present a co-occurrence network diagram of
leading researchers to show their collaborations. Leading researchers on
the Blockchain can be recognized by counting the number of papers
published by different authors. By counting the number of occurrences
of each author and the number of co-occurrence of two authors among
the papers, a co-occurrence network diagram of the leading researchers
was obtained. The authors and their co-authors other than the above
four institutes are removed to simplify the network diagram.
The network diagram shows the collaborative relationships of each
author in Fig. 4. Among the researchers shown in the gure, Li, Zhi and
Huang, George Q have studied the theories and key technologies of
Blockchain in manufacturing eld. Kang, Jiawen focus on the energy
trading using Blockchain technology. Park, Jong Hyuk afliated with
Seoul National University of Science and Technology mainly studies the
application of Blockchain in smart city. Su Zhou of Shanghai University
focuses on energy transmission and energy security in the energy elds.
2.4. Dimension 3. Article Classication
In order to understand the depth of current Blockchain research, we
dene three stages, namely conceptual stage, verication stage, and
application stage for the collected papers and classify them according to
the contents. Papers that only propose a framework or an approach, or
conducts theoretical analysis will be sorted out as conceptual stage.
Those which build a mathematical model or conduct instance-based
study, or conduct a proof-of-concept, or carry out a simulation, or
develop a prototype will be categorized as verication stage. Papers that
include practical application of Blockchain or real case studies or use
cases will be identied as application stage.
As shown in Fig. 5, papers published between 2017-2019 that
belonging to different stages in six elds are counted. In the eld of
nance, supply chain, and healthcare, the theoretical research accounts
for over a half. While in the eld of energy, manufacturing, and smart
city, the verication research overweighs the theoretical research and
application research.
3. Blockchain Overview
In this section, we give an overview of Blockchain in terms of the
architecture, key enabling technologies, and representative initiatives.
3.1. Architecture
Generally, a Blockchain system consists of a data layer, a network
layer, a consensus layer, an incentive layer, a contract layer, and an
application layer [21]. The data layer encapsulates the underlying data
blocks, which includes hash values, time stamps, transaction informa-
tion, public and private keys etc. [22]. The network layer involves
peer-to-peer (P2P) networking mechanism, data broadcasting mecha-
nism, data verication mechanism, etc. Blockchain network is essen-
tially a P2P network. The resources and services in the network are
scattered on each node, and the transmission of information and the
realization of services are carried out directly between nodes without
the intervention of intermediate links or centralized servers (third
parties). Nodes synchronize information through the network layer to
jointly maintain the ledger of the entire network. The network layer
enables the Blockchain to be automatically networked [23]. The
consensus layer encapsulates the consensus algorithm and consensus
mechanism, such as PoW, POS, and DPoS, enabling distributed nodes to
effectively reach consensus on the validity of block data in a decen-
tralized blockchain network. The consensus mechanism is designed to
keep consistency among all the nodes. It determines who will submit
blocks in the Blockchain system [24]. The incentive layer combines
economic factors, mainly including the issue and distribution mecha-
nism of economic incentives. In public Blockchains, the incentive
mechanism encourages compliance with rules and participation in
bookkeeping, and to punish violation, making the entire system evolving
in a virtuous circle. In permissioned Blockchains, there is no need to
encourage nodes to compete for bookkeeping, therefore, the incentive
mechanism does not necessarily exist [25]. The contract layer mainly
encapsulates various codes, algorithms and smart contracts, which is the
basis of the programmability of the Blockchain [26]. The smart contract
Fig. 2. The number of publications in recent four years in manufacturing, supply chain, and industrial blockchain.
Z. Li et al.